{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\au194671\OneDrive - Aarhus Universitet\UK data collection\Skrivebord\Helene Helboe Pedersen\JOP\version 4\session.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}17 Jan 2024, 09:10:38
{txt}
{com}. 
. ************
. * Figure 1 *
. use "dataset 2.dta", clear
{txt}
{com}. graph hbox posts, over(issue, label(labcolor("black") labsize(medsmall))) box(1, fcolor(none) lcolor(black) lpattern(solid)) nooutsides medtype(cline) medline(lcolor(black) lwidth(thick)) ytitle(Facebook posts (mean) per politician over 52 weeks) note("")
{res}{txt}
{com}. 
. ************
. * Figure 2 *
. use "dataset 3.dta", clear
{txt}
{com}. twoway (line poll week_poll if party == 110, sort lcolor(black) lwidth(medthick) lpattern(shortdash_dot)) ///
>            (line poll week_poll if party == 210, sort lcolor(black) lwidth(medthick) lpattern(vshortdash)) ///
>            (line poll week_poll if party == 220, sort lcolor(black) lwidth(med) lpattern(dash)) ///
>            (line poll week_poll if party == 410, sort lcolor(black) lwidth(medthick) lpattern(solid)) ///
>            (line poll week_poll if party == 430, sort lcolor(black) lwidth(medthick) lpattern(dash_dot)) ///
>            (line poll week_poll if party == 620, sort lcolor(black) lwidth(thin) lpattern(solid)) ///
>            (line poll week_poll if party == 720, sort lcolor(black) lwidth(thick) lpattern(dot)) ///
>                         if poll < 10, ytitle(Poll (voter support, %)) ytitle(, size(medlarge) color(black)) ylabel(, labsize(medlarge)) xtitle(Months) xtitle(, size(medlarge)) xlabel(0(2)12, labsize(medlarge)) ///
>                         legend(lab (1 "Å") lab(2 "Ø") lab(3 "SF") lab(4 "RV") lab(5 "LA") lab(6 "C") lab(7 "NB"))
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}.                         
. twoway (line poll week_poll if party == 320, sort lcolor(black) lwidth(medthick) lpattern(longdash)) ///
>            (line poll week_poll if party == 420, sort lcolor(black) lwidth(medthick) lpattern(solid)) ///
>            (line poll week_poll if party == 700, sort lcolor(black) lwidth(medthick) lpattern(dash)) ///
>                         if poll > 10, ytitle(Poll (voter support, %)) ytitle(, size(medlarge) color(black)) ylabel(, labsize(medlarge)) xtitle(Months) xtitle(, size(medlarge)) xlabel(0(2)12, labsize(medlarge)) ///
>                         legend(lab (1 "SD") lab(2 "V") lab(3 "DF"))
{res}{txt}
{com}.                         
. *******************************************************
. * Tables 1, 2, A2, A3, A5, A6, A11, A13. Figures 3, 4 *
. use "dataset 1.dta", clear
{txt}
{com}.         
. keep if counter_numerical < 3 // We transform the data to only analyze the average values two periods before and after the cutt-off point
{txt}(6,716 observations deleted)

{com}. collapse prognose match poll_diff issue_posts party poll_neg_accum poll_diff_average poll_number poll_category_large2 issue_ownership* marginality_10 marginality_pers Gender first Birthyear meanIOscore_all, by(ID_Pol week_poll prepost_poll)
{txt}
{com}. replace prognose = 1 if prognose > 0 & prognose < 2 // We clean the variable after the collapse command.
{txt}(32 real changes made)

{com}. g panel = ID_P*100+week_poll // We set up the panel structure of the data that we need to include party and poll fixed effects to the analysis.
{txt}
{com}. xtset panel prepost_poll
{res}{txt}{col 8}panel variable:  {res}panel (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}prepost_poll, 0 to 1
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. * Table 1, Table A2
. zip match i.prepost_poll##c.poll_diff                                                           poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2321.4048}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2268.4259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.6803}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   1978.93
{txt}Log pseudolikelihood = {res}-2267.679                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0170343{col 31}{space 2} .0334375{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-.0485019{col 72}{space 3} .0825706
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0445068{col 31}{space 2} .0421906{col 42}{space 1}    1.05{col 51}{space 3}0.291{col 59}{space 4}-.0381853{col 72}{space 3} .1271988
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0976107{col 31}{space 2} .0408221{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.1776206{col 72}{space 3}-.0176008
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008631{col 31}{space 2} .0063242{col 42}{space 1}   -0.14{col 51}{space 3}0.891{col 59}{space 4}-.0132583{col 72}{space 3} .0115322
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0015719{col 31}{space 2} .0620872{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-.1232607{col 72}{space 3} .1201168
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2161966{col 31}{space 2} .0056263{col 42}{space 1}   38.43{col 51}{space 3}0.000{col 59}{space 4} .2051693{col 72}{space 3} .2272239
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0194823{col 31}{space 2} .0105622{col 42}{space 1}    1.84{col 51}{space 3}0.065{col 59}{space 4}-.0012192{col 72}{space 3} .0401838
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0680799{col 31}{space 2} .0773255{col 42}{space 1}    0.88{col 51}{space 3}0.379{col 59}{space 4}-.0834753{col 72}{space 3} .2196351
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1755968{col 31}{space 2} .0855249{col 42}{space 1}   -2.05{col 51}{space 3}0.040{col 59}{space 4}-.3432226{col 72}{space 3} -.007971
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930101{col 31}{space 2} .0759039{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-.0557587{col 72}{space 3}  .241779
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1354691{col 31}{space 2} .0921693{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.3161176{col 72}{space 3} .0451794
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0617903{col 31}{space 2} .0762144{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0875873{col 72}{space 3} .2111678
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .0795003{col 31}{space 2} .0843418{col 42}{space 1}    0.94{col 51}{space 3}0.346{col 59}{space 4}-.0858067{col 72}{space 3} .2448073
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1015088{col 31}{space 2} .0942398{col 42}{space 1}    1.08{col 51}{space 3}0.281{col 59}{space 4}-.0831978{col 72}{space 3} .2862154
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1605607{col 31}{space 2} .0753118{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-.3081692{col 72}{space 3}-.0129523
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5506606{col 31}{space 2} .0863083{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4} .3814995{col 72}{space 3} .7198217
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7298704{col 31}{space 2} .0836429{col 42}{space 1}    8.73{col 51}{space 3}0.000{col 59}{space 4} .5659333{col 72}{space 3} .8938074
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6226225{col 31}{space 2} .0934849{col 42}{space 1}    6.66{col 51}{space 3}0.000{col 59}{space 4} .4393955{col 72}{space 3} .8058496
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7290724{col 31}{space 2} .0749342{col 42}{space 1}    9.73{col 51}{space 3}0.000{col 59}{space 4}  .582204{col 72}{space 3} .8759407
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6392293{col 31}{space 2} .0763915{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} .4895046{col 72}{space 3} .7889539
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3137233{col 31}{space 2} .0850744{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} .1469805{col 72}{space 3} .4804662
{txt}{space 15}8  {c |}{col 19}{res}{space 2}  .422136{col 31}{space 2} .0853769{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4} .2548004{col 72}{space 3} .5894716
{txt}{space 15}9  {c |}{col 19}{res}{space 2}  .397654{col 31}{space 2} .0857393{col 42}{space 1}    4.64{col 51}{space 3}0.000{col 59}{space 4} .2296081{col 72}{space 3} .5656998
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1451198{col 31}{space 2}  .097616{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.0462041{col 72}{space 3} .3364437
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2208377{col 31}{space 2} .0981418{col 42}{space 1}    2.25{col 51}{space 3}0.024{col 59}{space 4} .0284833{col 72}{space 3} .4131922
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.083438{col 31}{space 2} .1054916{col 42}{space 1}  -19.75{col 51}{space 3}0.000{col 59}{space 4}-2.290198{col 72}{space 3}-1.876678
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .4559361{col 31}{space 2} .0616894{col 42}{space 1}    7.39{col 51}{space 3}0.000{col 59}{space 4} .3350271{col 72}{space 3}  .576845
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.2143716{col 31}{space 2} .0653404{col 42}{space 1}   -3.28{col 51}{space 3}0.001{col 59}{space 4}-.3424365{col 72}{space 3}-.0863068
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1368661{col 31}{space 2} .0784664{col 42}{space 1}    1.74{col 51}{space 3}0.081{col 59}{space 4}-.0169253{col 72}{space 3} .2906574
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-26.32823{col 31}{space 2} .0480171{col 42}{space 1} -548.31{col 51}{space 3}0.000{col 59}{space 4}-26.42235{col 72}{space 3}-26.23412
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_diff                                                           poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(cluster party) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2321.4048}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2268.4259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.6803}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}         .
{txt}Log pseudolikelihood = {res}-2267.679                {txt}Prob > chi2       = {res}         .

{txt}{ralign 83:(Std. Err. adjusted for {res:9} clusters in party)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0170343{col 31}{space 2} .0250993{col 42}{space 1}    0.68{col 51}{space 3}0.497{col 59}{space 4}-.0321595{col 72}{space 3} .0662281
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0445068{col 31}{space 2} .0462319{col 42}{space 1}    0.96{col 51}{space 3}0.336{col 59}{space 4} -.046106{col 72}{space 3} .1351196
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0976107{col 31}{space 2} .0425917{col 42}{space 1}   -2.29{col 51}{space 3}0.022{col 59}{space 4}-.1810889{col 72}{space 3}-.0141324
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008631{col 31}{space 2} .0051979{col 42}{space 1}   -0.17{col 51}{space 3}0.868{col 59}{space 4}-.0110507{col 72}{space 3} .0093246
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0015719{col 31}{space 2} .0944357{col 42}{space 1}   -0.02{col 51}{space 3}0.987{col 59}{space 4}-.1866625{col 72}{space 3} .1835186
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2161966{col 31}{space 2} .0150196{col 42}{space 1}   14.39{col 51}{space 3}0.000{col 59}{space 4} .1867587{col 72}{space 3} .2456345
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0194823{col 31}{space 2} .0164194{col 42}{space 1}    1.19{col 51}{space 3}0.235{col 59}{space 4}-.0126991{col 72}{space 3} .0516637
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0680799{col 31}{space 2}  .046788{col 42}{space 1}    1.46{col 51}{space 3}0.146{col 59}{space 4}-.0236229{col 72}{space 3} .1597828
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1755968{col 31}{space 2} .0218174{col 42}{space 1}   -8.05{col 51}{space 3}0.000{col 59}{space 4}-.2183581{col 72}{space 3}-.1328355
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930101{col 31}{space 2} .0848488{col 42}{space 1}    1.10{col 51}{space 3}0.273{col 59}{space 4}-.0732904{col 72}{space 3} .2593107
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1354691{col 31}{space 2} .0354105{col 42}{space 1}   -3.83{col 51}{space 3}0.000{col 59}{space 4}-.2048724{col 72}{space 3}-.0660657
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0617903{col 31}{space 2} .0762183{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0875949{col 72}{space 3} .2111754
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .0795003{col 31}{space 2} .0584499{col 42}{space 1}    1.36{col 51}{space 3}0.174{col 59}{space 4}-.0350593{col 72}{space 3} .1940599
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1015088{col 31}{space 2} .0419202{col 42}{space 1}    2.42{col 51}{space 3}0.015{col 59}{space 4} .0193467{col 72}{space 3} .1836709
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1605607{col 31}{space 2} .0269055{col 42}{space 1}   -5.97{col 51}{space 3}0.000{col 59}{space 4}-.2132946{col 72}{space 3}-.1078269
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5506606{col 31}{space 2} .0948727{col 42}{space 1}    5.80{col 51}{space 3}0.000{col 59}{space 4} .3647135{col 72}{space 3} .7366077
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7298704{col 31}{space 2} .1075467{col 42}{space 1}    6.79{col 51}{space 3}0.000{col 59}{space 4} .5190827{col 72}{space 3}  .940658
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6226225{col 31}{space 2}  .094857{col 42}{space 1}    6.56{col 51}{space 3}0.000{col 59}{space 4} .4367063{col 72}{space 3} .8085388
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7290724{col 31}{space 2} .0981398{col 42}{space 1}    7.43{col 51}{space 3}0.000{col 59}{space 4} .5367219{col 72}{space 3} .9214228
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6392293{col 31}{space 2}  .120102{col 42}{space 1}    5.32{col 51}{space 3}0.000{col 59}{space 4} .4038337{col 72}{space 3} .8746248
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3137233{col 31}{space 2} .1567771{col 42}{space 1}    2.00{col 51}{space 3}0.045{col 59}{space 4} .0064458{col 72}{space 3} .6210009
{txt}{space 15}8  {c |}{col 19}{res}{space 2}  .422136{col 31}{space 2} .1083328{col 42}{space 1}    3.90{col 51}{space 3}0.000{col 59}{space 4} .2098077{col 72}{space 3} .6344643
{txt}{space 15}9  {c |}{col 19}{res}{space 2}  .397654{col 31}{space 2} .0952173{col 42}{space 1}    4.18{col 51}{space 3}0.000{col 59}{space 4} .2110315{col 72}{space 3} .5842765
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1451198{col 31}{space 2} .1460291{col 42}{space 1}    0.99{col 51}{space 3}0.320{col 59}{space 4}-.1410919{col 72}{space 3} .4313315
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2208377{col 31}{space 2} .1200618{col 42}{space 1}    1.84{col 51}{space 3}0.066{col 59}{space 4}-.0144791{col 72}{space 3} .4561546
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.083438{col 31}{space 2} .1165378{col 42}{space 1}  -17.88{col 51}{space 3}0.000{col 59}{space 4}-2.311848{col 72}{space 3}-1.855028
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .4559361{col 31}{space 2} .0536507{col 42}{space 1}    8.50{col 51}{space 3}0.000{col 59}{space 4} .3507827{col 72}{space 3} .5610894
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.2143716{col 31}{space 2} .2022894{col 42}{space 1}   -1.06{col 51}{space 3}0.289{col 59}{space 4}-.6108515{col 72}{space 3} .1821082
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1368661{col 31}{space 2} .1868296{col 42}{space 1}    0.73{col 51}{space 3}0.464{col 59}{space 4}-.2293132{col 72}{space 3} .5030453
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-26.32823{col 31}{space 2} .4044007{col 42}{space 1}  -65.10{col 51}{space 3}0.000{col 59}{space 4}-27.12084{col 72}{space 3}-25.53562
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_diff                                                      i.ID poll_neg_accum poll_diff_average issue_posts poll_number i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff)
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2278.4553}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2155.8154}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2143.5942}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2141.7684}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2141.3233}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2141.2356}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2141.2166}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2141.2121}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2141.2111}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2141.2109}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2141.2109}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}162{txt})    = {res}  32464.00
{txt}Log pseudolikelihood = {res}-2141.211                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
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{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0918397{col 31}{space 2} .0355945{col 42}{space 1}   -2.58{col 51}{space 3}0.010{col 59}{space 4}-.1616036{col 72}{space 3}-.0220757
{txt}{space 17} {c |}
{space 4}ID_Politician {c |}
{space 15}4  {c |}{col 19}{res}{space 2}-.6794781{col 31}{space 2} .2450777{col 42}{space 1}   -2.77{col 51}{space 3}0.006{col 59}{space 4}-1.159822{col 72}{space 3}-.1991346
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{txt}{space 13}141  {c |}{col 19}{res}{space 2}-.0965264{col 31}{space 2}  .214959{col 42}{space 1}   -0.45{col 51}{space 3}0.653{col 59}{space 4}-.5178383{col 72}{space 3} .3247855
{txt}{space 13}142  {c |}{col 19}{res}{space 2}-.1991245{col 31}{space 2} .3117189{col 42}{space 1}   -0.64{col 51}{space 3}0.523{col 59}{space 4}-.8100823{col 72}{space 3} .4118334
{txt}{space 13}143  {c |}{col 19}{res}{space 2} .0594285{col 31}{space 2} .2958423{col 42}{space 1}    0.20{col 51}{space 3}0.841{col 59}{space 4}-.5204116{col 72}{space 3} .6392687
{txt}{space 13}144  {c |}{col 19}{res}{space 2}-.2668983{col 31}{space 2} .2231825{col 42}{space 1}   -1.20{col 51}{space 3}0.232{col 59}{space 4} -.704328{col 72}{space 3} .1705314
{txt}{space 13}145  {c |}{col 19}{res}{space 2} .1326746{col 31}{space 2} .2824041{col 42}{space 1}    0.47{col 51}{space 3}0.638{col 59}{space 4}-.4208273{col 72}{space 3} .6861764
{txt}{space 13}146  {c |}{col 19}{res}{space 2}-1.833307{col 31}{space 2}  .702188{col 42}{space 1}   -2.61{col 51}{space 3}0.009{col 59}{space 4} -3.20957{col 72}{space 3}-.4570434
{txt}{space 13}147  {c |}{col 19}{res}{space 2} .3933863{col 31}{space 2}  .210085{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4}-.0183727{col 72}{space 3} .8051453
{txt}{space 13}148  {c |}{col 19}{res}{space 2}  .201312{col 31}{space 2} .2257541{col 42}{space 1}    0.89{col 51}{space 3}0.373{col 59}{space 4} -.241158{col 72}{space 3}  .643782
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0021901{col 31}{space 2} .0055946{col 42}{space 1}   -0.39{col 51}{space 3}0.695{col 59}{space 4}-.0131553{col 72}{space 3} .0087751
{txt}poll_diff_average {c |}{col 19}{res}{space 2} .0073742{col 31}{space 2} .0556894{col 42}{space 1}    0.13{col 51}{space 3}0.895{col 59}{space 4}-.1017751{col 72}{space 3} .1165235
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2153302{col 31}{space 2} .0081563{col 42}{space 1}   26.40{col 51}{space 3}0.000{col 59}{space 4} .1993441{col 72}{space 3} .2313162
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0196485{col 31}{space 2} .0099121{col 42}{space 1}    1.98{col 51}{space 3}0.047{col 59}{space 4} .0002212{col 72}{space 3} .0390758
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5406781{col 31}{space 2} .0806135{col 42}{space 1}    6.71{col 51}{space 3}0.000{col 59}{space 4} .3826786{col 72}{space 3} .6986776
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7205562{col 31}{space 2} .0761808{col 42}{space 1}    9.46{col 51}{space 3}0.000{col 59}{space 4} .5712445{col 72}{space 3} .8698678
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6259214{col 31}{space 2} .0792859{col 42}{space 1}    7.89{col 51}{space 3}0.000{col 59}{space 4} .4705239{col 72}{space 3} .7813189
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7212249{col 31}{space 2} .0689835{col 42}{space 1}   10.46{col 51}{space 3}0.000{col 59}{space 4} .5860197{col 72}{space 3}   .85643
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6197912{col 31}{space 2} .0712362{col 42}{space 1}    8.70{col 51}{space 3}0.000{col 59}{space 4} .4801707{col 72}{space 3} .7594116
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .2793958{col 31}{space 2} .0788371{col 42}{space 1}    3.54{col 51}{space 3}0.000{col 59}{space 4}  .124878{col 72}{space 3} .4339136
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .4125616{col 31}{space 2} .0773257{col 42}{space 1}    5.34{col 51}{space 3}0.000{col 59}{space 4}  .261006{col 72}{space 3} .5641171
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3838544{col 31}{space 2} .0774812{col 42}{space 1}    4.95{col 51}{space 3}0.000{col 59}{space 4} .2319941{col 72}{space 3} .5357148
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1227124{col 31}{space 2} .0907744{col 42}{space 1}    1.35{col 51}{space 3}0.176{col 59}{space 4}-.0552022{col 72}{space 3}  .300627
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .1817317{col 31}{space 2} .0919736{col 42}{space 1}    1.98{col 51}{space 3}0.048{col 59}{space 4} .0014667{col 72}{space 3} .3619967
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  -2.0893{col 31}{space 2} .2077548{col 42}{space 1}  -10.06{col 51}{space 3}0.000{col 59}{space 4}-2.496492{col 72}{space 3}-1.682108
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .5587447{col 31}{space 2} .0587935{col 42}{space 1}    9.50{col 51}{space 3}0.000{col 59}{space 4} .4435115{col 72}{space 3} .6739779
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.1968079{col 31}{space 2} .0612596{col 42}{space 1}   -3.21{col 51}{space 3}0.001{col 59}{space 4}-.3168745{col 72}{space 3}-.0767414
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1089269{col 31}{space 2} .0740904{col 42}{space 1}    1.47{col 51}{space 3}0.142{col 59}{space 4}-.0362876{col 72}{space 3} .2541415
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-37.31099{col 31}{space 2} .0457836{col 42}{space 1} -814.94{col 51}{space 3}0.000{col 59}{space 4}-37.40072{col 72}{space 3}-37.22126
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_diff                Gender first Birthyear poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2318.3065}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2261.7405}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2260.9486}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2260.9475}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2260.9475}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}28{txt})     = {res}   2075.51
{txt}Log pseudolikelihood = {res}-2260.948                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0150853{col 31}{space 2} .0334086{col 42}{space 1}    0.45{col 51}{space 3}0.652{col 59}{space 4}-.0503944{col 72}{space 3} .0805651
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0407519{col 31}{space 2} .0422433{col 42}{space 1}    0.96{col 51}{space 3}0.335{col 59}{space 4}-.0420434{col 72}{space 3} .1235472
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0954124{col 31}{space 2} .0406922{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-.1751677{col 72}{space 3} -.015657
{txt}{space 17} {c |}
{space 11}Gender {c |}{col 19}{res}{space 2}-.1055836{col 31}{space 2} .0340112{col 42}{space 1}   -3.10{col 51}{space 3}0.002{col 59}{space 4}-.1722444{col 72}{space 3}-.0389229
{txt}{space 4}firstelection {c |}{col 19}{res}{space 2}-.0120533{col 31}{space 2} .0029105{col 42}{space 1}   -4.14{col 51}{space 3}0.000{col 59}{space 4}-.0177578{col 72}{space 3}-.0063488
{txt}{space 8}Birthyear {c |}{col 19}{res}{space 2} .0078743{col 31}{space 2} .0017791{col 42}{space 1}    4.43{col 51}{space 3}0.000{col 59}{space 4} .0043873{col 72}{space 3} .0113613
{txt}{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008907{col 31}{space 2} .0062362{col 42}{space 1}   -0.14{col 51}{space 3}0.886{col 59}{space 4}-.0131135{col 72}{space 3} .0113321
{txt}poll_diff_average {c |}{col 19}{res}{space 2}   .00465{col 31}{space 2} .0620567{col 42}{space 1}    0.07{col 51}{space 3}0.940{col 59}{space 4}-.1169788{col 72}{space 3} .1262788
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2189241{col 31}{space 2}  .005601{col 42}{space 1}   39.09{col 51}{space 3}0.000{col 59}{space 4} .2079464{col 72}{space 3} .2299018
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0203496{col 31}{space 2} .0103643{col 42}{space 1}    1.96{col 51}{space 3}0.050{col 59}{space 4}  .000036{col 72}{space 3} .0406632
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2}-.0181025{col 31}{space 2}  .076816{col 42}{space 1}   -0.24{col 51}{space 3}0.814{col 59}{space 4} -.168659{col 72}{space 3} .1324541
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.3260186{col 31}{space 2} .0858351{col 42}{space 1}   -3.80{col 51}{space 3}0.000{col 59}{space 4}-.4942523{col 72}{space 3}-.1577848
{txt}{space 13}320  {c |}{col 19}{res}{space 2}-.0553673{col 31}{space 2} .0789741{col 42}{space 1}   -0.70{col 51}{space 3}0.483{col 59}{space 4}-.2101537{col 72}{space 3} .0994191
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.3254541{col 31}{space 2} .0958235{col 42}{space 1}   -3.40{col 51}{space 3}0.001{col 59}{space 4}-.5132648{col 72}{space 3}-.1376435
{txt}{space 13}420  {c |}{col 19}{res}{space 2}-.0701788{col 31}{space 2} .0797067{col 42}{space 1}   -0.88{col 51}{space 3}0.379{col 59}{space 4}-.2264011{col 72}{space 3} .0860435
{txt}{space 13}430  {c |}{col 19}{res}{space 2}-.0191952{col 31}{space 2} .0867921{col 42}{space 1}   -0.22{col 51}{space 3}0.825{col 59}{space 4}-.1893046{col 72}{space 3} .1509142
{txt}{space 13}620  {c |}{col 19}{res}{space 2}-.0602395{col 31}{space 2} .0977549{col 42}{space 1}   -0.62{col 51}{space 3}0.538{col 59}{space 4}-.2518355{col 72}{space 3} .1313566
{txt}{space 13}700  {c |}{col 19}{res}{space 2} -.281355{col 31}{space 2} .0757509{col 42}{space 1}   -3.71{col 51}{space 3}0.000{col 59}{space 4} -.429824{col 72}{space 3}-.1328861
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5401904{col 31}{space 2} .0857536{col 42}{space 1}    6.30{col 51}{space 3}0.000{col 59}{space 4} .3721164{col 72}{space 3} .7082644
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7145104{col 31}{space 2} .0833064{col 42}{space 1}    8.58{col 51}{space 3}0.000{col 59}{space 4} .5512329{col 72}{space 3} .8777878
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6207935{col 31}{space 2} .0919087{col 42}{space 1}    6.75{col 51}{space 3}0.000{col 59}{space 4} .4406557{col 72}{space 3} .8009313
{txt}{space 15}5  {c |}{col 19}{res}{space 2}  .721258{col 31}{space 2} .0738938{col 42}{space 1}    9.76{col 51}{space 3}0.000{col 59}{space 4} .5764288{col 72}{space 3} .8660872
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6317406{col 31}{space 2} .0755721{col 42}{space 1}    8.36{col 51}{space 3}0.000{col 59}{space 4} .4836221{col 72}{space 3} .7798592
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3037892{col 31}{space 2} .0844274{col 42}{space 1}    3.60{col 51}{space 3}0.000{col 59}{space 4} .1383145{col 72}{space 3}  .469264
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .4132476{col 31}{space 2} .0833788{col 42}{space 1}    4.96{col 51}{space 3}0.000{col 59}{space 4} .2498282{col 72}{space 3} .5766671
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3881097{col 31}{space 2} .0831349{col 42}{space 1}    4.67{col 51}{space 3}0.000{col 59}{space 4} .2251682{col 72}{space 3} .5510512
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1411245{col 31}{space 2} .0961258{col 42}{space 1}    1.47{col 51}{space 3}0.142{col 59}{space 4}-.0472786{col 72}{space 3} .3295276
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2033389{col 31}{space 2}  .096901{col 42}{space 1}    2.10{col 51}{space 3}0.036{col 59}{space 4} .0134165{col 72}{space 3} .3932614
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  6.78172{col 31}{space 2} 5.409513{col 42}{space 1}    1.25{col 51}{space 3}0.210{col 59}{space 4}-3.820731{col 72}{space 3} 17.38417
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .4600696{col 31}{space 2} .0615011{col 42}{space 1}    7.48{col 51}{space 3}0.000{col 59}{space 4} .3395296{col 72}{space 3} .5806096
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.2150017{col 31}{space 2} .0650987{col 42}{space 1}   -3.30{col 51}{space 3}0.001{col 59}{space 4}-.3425928{col 72}{space 3}-.0874106
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1360226{col 31}{space 2} .0782011{col 42}{space 1}    1.74{col 51}{space 3}0.082{col 59}{space 4}-.0172488{col 72}{space 3}  .289294
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-26.33874{col 31}{space 2} .0478201{col 42}{space 1} -550.79{col 51}{space 3}0.000{col 59}{space 4}-26.43247{col 72}{space 3}-26.24501
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_category_large2                                                poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2321.1624}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2267.9842}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.2353}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.2343}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2267.2343}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   2000.49
{txt}Log pseudolikelihood = {res}-2267.234                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                 match{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match                  {txt}{c |}
{space 8}1.prepost_poll {c |}{col 24}{res}{space 2} .0135815{col 36}{space 2} .0334579{col 47}{space 1}    0.41{col 56}{space 3}0.685{col 64}{space 4}-.0519948{col 77}{space 3} .0791579
{txt}{space 2}poll_category_large2 {c |}{col 24}{res}{space 2} .0866763{col 36}{space 2} .0506006{col 47}{space 1}    1.71{col 56}{space 3}0.087{col 64}{space 4} -.012499{col 77}{space 3} .1858517
{txt}{space 22} {c |}
{space 10}prepost_poll#{c |}
c.poll_category_large2 {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.1624936{col 36}{space 2} .0558466{col 47}{space 1}   -2.91{col 56}{space 3}0.004{col 64}{space 4}-.2719509{col 77}{space 3}-.0530364
{txt}{space 22} {c |}
{space 8}poll_neg_accum {c |}{col 24}{res}{space 2}-.0000675{col 36}{space 2} .0055061{col 47}{space 1}   -0.01{col 56}{space 3}0.990{col 64}{space 4}-.0108592{col 77}{space 3} .0107241
{txt}{space 5}poll_diff_average {c |}{col 24}{res}{space 2} -.006221{col 36}{space 2} .0597365{col 47}{space 1}   -0.10{col 56}{space 3}0.917{col 64}{space 4}-.1233024{col 77}{space 3} .1108605
{txt}{space 11}issue_posts {c |}{col 24}{res}{space 2} .2160491{col 36}{space 2} .0056091{col 47}{space 1}   38.52{col 56}{space 3}0.000{col 64}{space 4} .2050555{col 77}{space 3} .2270426
{txt}{space 11}poll_number {c |}{col 24}{res}{space 2}  .019773{col 36}{space 2} .0105681{col 47}{space 1}    1.87{col 56}{space 3}0.061{col 64}{space 4}-.0009401{col 77}{space 3}  .040486
{txt}{space 22} {c |}
{space 17}party {c |}
{space 18}210  {c |}{col 24}{res}{space 2} .0758706{col 36}{space 2} .0768126{col 47}{space 1}    0.99{col 56}{space 3}0.323{col 64}{space 4}-.0746794{col 77}{space 3} .2264206
{txt}{space 18}220  {c |}{col 24}{res}{space 2}-.1706395{col 36}{space 2}  .085493{col 47}{space 1}   -2.00{col 56}{space 3}0.046{col 64}{space 4}-.3382028{col 77}{space 3}-.0030763
{txt}{space 18}320  {c |}{col 24}{res}{space 2} .1000141{col 36}{space 2} .0740103{col 47}{space 1}    1.35{col 56}{space 3}0.177{col 64}{space 4}-.0450435{col 77}{space 3} .2450716
{txt}{space 18}410  {c |}{col 24}{res}{space 2}-.1286089{col 36}{space 2} .0908801{col 47}{space 1}   -1.42{col 56}{space 3}0.157{col 64}{space 4}-.3067306{col 77}{space 3} .0495128
{txt}{space 18}420  {c |}{col 24}{res}{space 2} .0681964{col 36}{space 2}  .074097{col 47}{space 1}    0.92{col 56}{space 3}0.357{col 64}{space 4} -.077031{col 77}{space 3} .2134237
{txt}{space 18}430  {c |}{col 24}{res}{space 2} .0850864{col 36}{space 2} .0838148{col 47}{space 1}    1.02{col 56}{space 3}0.310{col 64}{space 4}-.0791876{col 77}{space 3} .2493604
{txt}{space 18}620  {c |}{col 24}{res}{space 2} .1089415{col 36}{space 2} .0936109{col 47}{space 1}    1.16{col 56}{space 3}0.245{col 64}{space 4}-.0745324{col 77}{space 3} .2924154
{txt}{space 18}700  {c |}{col 24}{res}{space 2}-.1540325{col 36}{space 2}  .075273{col 47}{space 1}   -2.05{col 56}{space 3}0.041{col 64}{space 4}-.3015647{col 77}{space 3}-.0065002
{txt}{space 22} {c |}
{space 11}poll_number {c |}
{space 20}2  {c |}{col 24}{res}{space 2} .5542189{col 36}{space 2} .0864365{col 47}{space 1}    6.41{col 56}{space 3}0.000{col 64}{space 4} .3848064{col 77}{space 3} .7236314
{txt}{space 20}3  {c |}{col 24}{res}{space 2} .7374277{col 36}{space 2} .0825887{col 47}{space 1}    8.93{col 56}{space 3}0.000{col 64}{space 4} .5755567{col 77}{space 3} .8992986
{txt}{space 20}4  {c |}{col 24}{res}{space 2} .6292029{col 36}{space 2} .0946828{col 47}{space 1}    6.65{col 56}{space 3}0.000{col 64}{space 4} .4436279{col 77}{space 3} .8147778
{txt}{space 20}5  {c |}{col 24}{res}{space 2} .7351225{col 36}{space 2} .0745661{col 47}{space 1}    9.86{col 56}{space 3}0.000{col 64}{space 4} .5889756{col 77}{space 3} .8812694
{txt}{space 20}6  {c |}{col 24}{res}{space 2} .6409668{col 36}{space 2} .0762288{col 47}{space 1}    8.41{col 56}{space 3}0.000{col 64}{space 4} .4915611{col 77}{space 3} .7903726
{txt}{space 20}7  {c |}{col 24}{res}{space 2} .3095528{col 36}{space 2} .0860935{col 47}{space 1}    3.60{col 56}{space 3}0.000{col 64}{space 4} .1408126{col 77}{space 3}  .478293
{txt}{space 20}8  {c |}{col 24}{res}{space 2} .4222959{col 36}{space 2}  .085689{col 47}{space 1}    4.93{col 56}{space 3}0.000{col 64}{space 4} .2543485{col 77}{space 3} .5902432
{txt}{space 20}9  {c |}{col 24}{res}{space 2}  .398545{col 36}{space 2} .0858628{col 47}{space 1}    4.64{col 56}{space 3}0.000{col 64}{space 4} .2302569{col 77}{space 3} .5668331
{txt}{space 19}10  {c |}{col 24}{res}{space 2} .1457626{col 36}{space 2}  .097815{col 47}{space 1}    1.49{col 56}{space 3}0.136{col 64}{space 4}-.0459514{col 77}{space 3} .3374765
{txt}{space 19}11  {c |}{col 24}{res}{space 2} .2201848{col 36}{space 2} .0986452{col 47}{space 1}    2.23{col 56}{space 3}0.026{col 64}{space 4} .0268438{col 77}{space 3} .4135257
{txt}{space 19}12  {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2}-2.090623{col 36}{space 2} .1049546{col 47}{space 1}  -19.92{col 56}{space 3}0.000{col 64}{space 4} -2.29633{col 77}{space 3}-1.884916
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate                {txt}{c |}
{space 8}1.prepost_poll {c |}{col 24}{res}{space 2} .4536969{col 36}{space 2} .0616897{col 47}{space 1}    7.35{col 56}{space 3}0.000{col 64}{space 4} .3327872{col 77}{space 3} .5746065
{txt}{space 13}poll_diff {c |}{col 24}{res}{space 2}-.2031265{col 36}{space 2} .0663237{col 47}{space 1}   -3.06{col 56}{space 3}0.002{col 64}{space 4}-.3331186{col 77}{space 3}-.0731343
{txt}{space 22} {c |}
{space 10}prepost_poll#{c |}
{space 11}c.poll_diff {c |}
{space 20}1  {c |}{col 24}{res}{space 2} .1244064{col 36}{space 2} .0798483{col 47}{space 1}    1.56{col 56}{space 3}0.119{col 64}{space 4}-.0320934{col 77}{space 3} .2809061
{txt}{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2}-26.32659{col 36}{space 2} .0480346{col 47}{space 1} -548.08{col 56}{space 3}0.000{col 64}{space 4}-26.42074{col 77}{space 3}-26.23244
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table 2, Table A3
. zip match i.prepost_poll##c.poll_diff##c.marginality_pers                                       poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(prepost_poll poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5425}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9558}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2709.368}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3356}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9214}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8252}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2320.9184}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2267.7434}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2266.9931}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2266.9921}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2266.9921}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}   1968.98
{txt}Log pseudolikelihood = {res}-2266.992                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 25}{c |}{col 37}    Robust
{col 1}                  match{col 25}{c |}      Coef.{col 37}   Std. Err.{col 49}      z{col 57}   P>|z|{col 65}     [95% Con{col 78}f. Interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match                   {txt}{c |}
{space 9}1.prepost_poll {c |}{col 25}{res}{space 2} .0080786{col 37}{space 2} .0429636{col 48}{space 1}    0.19{col 57}{space 3}0.851{col 65}{space 4}-.0761285{col 78}{space 3} .0922856
{txt}{space 14}poll_diff {c |}{col 25}{res}{space 2} .0325367{col 37}{space 2} .0496443{col 48}{space 1}    0.66{col 57}{space 3}0.512{col 65}{space 4}-.0647643{col 78}{space 3} .1298378
{txt}{space 23} {c |}
{space 11}prepost_poll#{c |}
{space 12}c.poll_diff {c |}
{space 21}1  {c |}{col 25}{res}{space 2} -.095981{col 37}{space 2} .0509302{col 48}{space 1}   -1.88{col 57}{space 3}0.059{col 65}{space 4}-.1958024{col 78}{space 3} .0038403
{txt}{space 23} {c |}
{space 2}marginality_persparty {c |}{col 25}{res}{space 2} .1181289{col 37}{space 2} .1347446{col 48}{space 1}    0.88{col 57}{space 3}0.381{col 65}{space 4}-.1459657{col 78}{space 3} .3822235
{txt}{space 23} {c |}
{space 11}prepost_poll#{c |}
c.marginality_persparty {c |}
{space 21}1  {c |}{col 25}{res}{space 2} .0454485{col 37}{space 2} .1626274{col 48}{space 1}    0.28{col 57}{space 3}0.780{col 65}{space 4}-.2732954{col 78}{space 3} .3641924
{txt}{space 23} {c |}
{space 12}c.poll_diff#{c |}
c.marginality_persparty {c |}{col 25}{res}{space 2} .1160901{col 37}{space 2} .2045881{col 48}{space 1}    0.57{col 57}{space 3}0.570{col 65}{space 4}-.2848953{col 78}{space 3} .5170754
{txt}{space 23} {c |}
{space 11}prepost_poll#{c |}
{space 12}c.poll_diff#{c |}
c.marginality_persparty {c |}
{space 21}1  {c |}{col 25}{res}{space 2}-.0269833{col 37}{space 2} .2596197{col 48}{space 1}   -0.10{col 57}{space 3}0.917{col 65}{space 4}-.5358286{col 78}{space 3} .4818621
{txt}{space 23} {c |}
{space 9}poll_neg_accum {c |}{col 25}{res}{space 2}  .000127{col 37}{space 2} .0063383{col 48}{space 1}    0.02{col 57}{space 3}0.984{col 65}{space 4}-.0122959{col 78}{space 3} .0125498
{txt}{space 6}poll_diff_average {c |}{col 25}{res}{space 2}-.0004748{col 37}{space 2} .0620198{col 48}{space 1}   -0.01{col 57}{space 3}0.994{col 65}{space 4}-.1220314{col 78}{space 3} .1210818
{txt}{space 12}issue_posts {c |}{col 25}{res}{space 2} .2149276{col 37}{space 2} .0056614{col 48}{space 1}   37.96{col 57}{space 3}0.000{col 65}{space 4} .2038314{col 78}{space 3} .2260238
{txt}{space 12}poll_number {c |}{col 25}{res}{space 2} .0194901{col 37}{space 2} .0106025{col 48}{space 1}    1.84{col 57}{space 3}0.066{col 65}{space 4}-.0012905{col 78}{space 3} .0402707
{txt}{space 23} {c |}
{space 18}party {c |}
{space 19}210  {c |}{col 25}{res}{space 2} .0865442{col 37}{space 2} .0779257{col 48}{space 1}    1.11{col 57}{space 3}0.267{col 65}{space 4}-.0661873{col 78}{space 3} .2392758
{txt}{space 19}220  {c |}{col 25}{res}{space 2}-.1528053{col 37}{space 2}  .086027{col 48}{space 1}   -1.78{col 57}{space 3}0.076{col 65}{space 4}-.3214151{col 78}{space 3} .0158046
{txt}{space 19}320  {c |}{col 25}{res}{space 2} .1151657{col 37}{space 2} .0770777{col 48}{space 1}    1.49{col 57}{space 3}0.135{col 65}{space 4}-.0359039{col 78}{space 3} .2662353
{txt}{space 19}410  {c |}{col 25}{res}{space 2}-.1470547{col 37}{space 2} .0942006{col 48}{space 1}   -1.56{col 57}{space 3}0.119{col 65}{space 4}-.3316845{col 78}{space 3} .0375752
{txt}{space 19}420  {c |}{col 25}{res}{space 2} .0813669{col 37}{space 2} .0770159{col 48}{space 1}    1.06{col 57}{space 3}0.291{col 65}{space 4}-.0695815{col 78}{space 3} .2323152
{txt}{space 19}430  {c |}{col 25}{res}{space 2} .0567225{col 37}{space 2}  .087832{col 48}{space 1}    0.65{col 57}{space 3}0.518{col 65}{space 4}-.1154249{col 78}{space 3}   .22887
{txt}{space 19}620  {c |}{col 25}{res}{space 2} .0739439{col 37}{space 2} .0985865{col 48}{space 1}    0.75{col 57}{space 3}0.453{col 65}{space 4} -.119282{col 78}{space 3} .2671699
{txt}{space 19}700  {c |}{col 25}{res}{space 2}-.1405112{col 37}{space 2} .0762896{col 48}{space 1}   -1.84{col 57}{space 3}0.066{col 65}{space 4}-.2900361{col 78}{space 3} .0090136
{txt}{space 23} {c |}
{space 12}poll_number {c |}
{space 21}2  {c |}{col 25}{res}{space 2} .5511088{col 37}{space 2} .0867329{col 48}{space 1}    6.35{col 57}{space 3}0.000{col 65}{space 4} .3811155{col 78}{space 3} .7211021
{txt}{space 21}3  {c |}{col 25}{res}{space 2} .7294383{col 37}{space 2} .0841915{col 48}{space 1}    8.66{col 57}{space 3}0.000{col 65}{space 4}  .564426{col 78}{space 3} .8944505
{txt}{space 21}4  {c |}{col 25}{res}{space 2} .6288124{col 37}{space 2} .0930545{col 48}{space 1}    6.76{col 57}{space 3}0.000{col 65}{space 4}  .446429{col 78}{space 3} .8111958
{txt}{space 21}5  {c |}{col 25}{res}{space 2} .7262067{col 37}{space 2} .0751536{col 48}{space 1}    9.66{col 57}{space 3}0.000{col 65}{space 4} .5789084{col 78}{space 3}  .873505
{txt}{space 21}6  {c |}{col 25}{res}{space 2} .6400861{col 37}{space 2} .0761947{col 48}{space 1}    8.40{col 57}{space 3}0.000{col 65}{space 4} .4907472{col 78}{space 3} .7894251
{txt}{space 21}7  {c |}{col 25}{res}{space 2} .3182989{col 37}{space 2} .0851278{col 48}{space 1}    3.74{col 57}{space 3}0.000{col 65}{space 4} .1514515{col 78}{space 3} .4851463
{txt}{space 21}8  {c |}{col 25}{res}{space 2} .4168928{col 37}{space 2}  .086171{col 48}{space 1}    4.84{col 57}{space 3}0.000{col 65}{space 4} .2480007{col 78}{space 3} .5857849
{txt}{space 21}9  {c |}{col 25}{res}{space 2}  .399109{col 37}{space 2} .0857879{col 48}{space 1}    4.65{col 57}{space 3}0.000{col 65}{space 4} .2309677{col 78}{space 3} .5672502
{txt}{space 20}10  {c |}{col 25}{res}{space 2}  .142094{col 37}{space 2} .0979123{col 48}{space 1}    1.45{col 57}{space 3}0.147{col 65}{space 4}-.0498105{col 78}{space 3} .3339986
{txt}{space 20}11  {c |}{col 25}{res}{space 2} .2275022{col 37}{space 2} .0982492{col 48}{space 1}    2.32{col 57}{space 3}0.021{col 65}{space 4} .0349373{col 78}{space 3} .4200671
{txt}{space 20}12  {c |}{col 25}{res}{space 2}        0{col 37}{txt}  (omitted)
{space 23} {c |}
{space 18}_cons {c |}{col 25}{res}{space 2}-2.110931{col 37}{space 2} .1093475{col 48}{space 1}  -19.30{col 57}{space 3}0.000{col 65}{space 4}-2.325249{col 78}{space 3}-1.896614
{txt}{hline 24}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate                 {txt}{c |}
{space 11}prepost_poll {c |}{col 25}{res}{space 2} .4476173{col 37}{space 2} .0617057{col 48}{space 1}    7.25{col 57}{space 3}0.000{col 65}{space 4} .3266763{col 78}{space 3} .5685582
{txt}{space 14}poll_diff {c |}{col 25}{res}{space 2}-.1260141{col 37}{space 2} .0361968{col 48}{space 1}   -3.48{col 57}{space 3}0.000{col 65}{space 4}-.1969586{col 78}{space 3}-.0550696
{txt}{space 18}_cons {c |}{col 25}{res}{space 2}-26.32171{col 37}{space 2} .0479654{col 48}{space 1} -548.77{col 57}{space 3}0.000{col 65}{space 4}-26.41572{col 78}{space 3} -26.2277
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_diff##c.marginality_10                                         poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(prepost_poll poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5425}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9558}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2709.368}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3356}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9214}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8252}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2321.2173}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2268.1767}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.4292}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.4283}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2267.4283}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}   1987.63
{txt}Log pseudolikelihood = {res}-2267.428                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 21}{c |}{col 33}    Robust
{col 1}              match{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match               {txt}{c |}
{space 5}1.prepost_poll {c |}{col 21}{res}{space 2} .0233806{col 33}{space 2} .0351746{col 44}{space 1}    0.66{col 53}{space 3}0.506{col 61}{space 4}-.0455603{col 74}{space 3} .0923216
{txt}{space 10}poll_diff {c |}{col 21}{res}{space 2} .0396068{col 33}{space 2} .0428063{col 44}{space 1}    0.93{col 53}{space 3}0.355{col 61}{space 4} -.044292{col 74}{space 3} .1235055
{txt}{space 19} {c |}
{space 7}prepost_poll#{c |}
{space 8}c.poll_diff {c |}
{space 17}1  {c |}{col 21}{res}{space 2}-.0883582{col 33}{space 2} .0423959{col 44}{space 1}   -2.08{col 53}{space 3}0.037{col 61}{space 4}-.1714526{col 74}{space 3}-.0052638
{txt}{space 19} {c |}
{space 2}marginality_10pct {c |}{col 21}{res}{space 2}-.0019797{col 33}{space 2} .0853905{col 44}{space 1}   -0.02{col 53}{space 3}0.982{col 61}{space 4} -.169342{col 74}{space 3} .1653826
{txt}{space 19} {c |}
{space 7}prepost_poll#{c |}
c.marginality_10pct {c |}
{space 17}1  {c |}{col 21}{res}{space 2}-.0690531{col 33}{space 2} .1112388{col 44}{space 1}   -0.62{col 53}{space 3}0.535{col 61}{space 4}-.2870771{col 74}{space 3} .1489709
{txt}{space 19} {c |}
{space 8}c.poll_diff#{c |}
c.marginality_10pct {c |}{col 21}{res}{space 2} .0570466{col 33}{space 2} .1292681{col 44}{space 1}    0.44{col 53}{space 3}0.659{col 61}{space 4}-.1963143{col 74}{space 3} .3104075
{txt}{space 19} {c |}
{space 7}prepost_poll#{c |}
{space 8}c.poll_diff#{c |}
c.marginality_10pct {c |}
{space 17}1  {c |}{col 21}{res}{space 2}-.1021056{col 33}{space 2} .1560231{col 44}{space 1}   -0.65{col 53}{space 3}0.513{col 61}{space 4}-.4079053{col 74}{space 3} .2036941
{txt}{space 19} {c |}
{space 5}poll_neg_accum {c |}{col 21}{res}{space 2} -.000785{col 33}{space 2}  .006321{col 44}{space 1}   -0.12{col 53}{space 3}0.901{col 61}{space 4}-.0131739{col 74}{space 3} .0116039
{txt}{space 2}poll_diff_average {c |}{col 21}{res}{space 2}-.0021801{col 33}{space 2} .0622356{col 44}{space 1}   -0.04{col 53}{space 3}0.972{col 61}{space 4}-.1241597{col 74}{space 3} .1197995
{txt}{space 8}issue_posts {c |}{col 21}{res}{space 2} .2158644{col 33}{space 2} .0056536{col 44}{space 1}   38.18{col 53}{space 3}0.000{col 61}{space 4} .2047836{col 74}{space 3} .2269453
{txt}{space 8}poll_number {c |}{col 21}{res}{space 2} .0194718{col 33}{space 2} .0105788{col 44}{space 1}    1.84{col 53}{space 3}0.066{col 61}{space 4}-.0012622{col 74}{space 3} .0402059
{txt}{space 19} {c |}
{space 14}party {c |}
{space 15}210  {c |}{col 21}{res}{space 2} .0715458{col 33}{space 2} .0775274{col 44}{space 1}    0.92{col 53}{space 3}0.356{col 61}{space 4} -.080405{col 74}{space 3} .2234967
{txt}{space 15}220  {c |}{col 21}{res}{space 2}-.1677728{col 33}{space 2} .0863163{col 44}{space 1}   -1.94{col 53}{space 3}0.052{col 61}{space 4}-.3369496{col 74}{space 3} .0014039
{txt}{space 15}320  {c |}{col 21}{res}{space 2} .0931995{col 33}{space 2} .0758878{col 44}{space 1}    1.23{col 53}{space 3}0.219{col 61}{space 4} -.055538{col 74}{space 3} .2419369
{txt}{space 15}410  {c |}{col 21}{res}{space 2}-.1394702{col 33}{space 2} .0923212{col 44}{space 1}   -1.51{col 53}{space 3}0.131{col 61}{space 4}-.3204165{col 74}{space 3} .0414761
{txt}{space 15}420  {c |}{col 21}{res}{space 2}  .061105{col 33}{space 2}  .076319{col 44}{space 1}    0.80{col 53}{space 3}0.423{col 61}{space 4}-.0884775{col 74}{space 3} .2106875
{txt}{space 15}430  {c |}{col 21}{res}{space 2} .0751676{col 33}{space 2} .0844696{col 44}{space 1}    0.89{col 53}{space 3}0.374{col 61}{space 4}-.0903898{col 74}{space 3}  .240725
{txt}{space 15}620  {c |}{col 21}{res}{space 2} .0983266{col 33}{space 2} .0941679{col 44}{space 1}    1.04{col 53}{space 3}0.296{col 61}{space 4}-.0862391{col 74}{space 3} .2828922
{txt}{space 15}700  {c |}{col 21}{res}{space 2}-.1641242{col 33}{space 2} .0754871{col 44}{space 1}   -2.17{col 53}{space 3}0.030{col 61}{space 4}-.3120761{col 74}{space 3}-.0161722
{txt}{space 19} {c |}
{space 8}poll_number {c |}
{space 17}2  {c |}{col 21}{res}{space 2} .5504332{col 33}{space 2} .0864492{col 44}{space 1}    6.37{col 53}{space 3}0.000{col 61}{space 4} .3809959{col 74}{space 3} .7198704
{txt}{space 17}3  {c |}{col 21}{res}{space 2} .7301299{col 33}{space 2} .0837318{col 44}{space 1}    8.72{col 53}{space 3}0.000{col 61}{space 4} .5660186{col 74}{space 3} .8942412
{txt}{space 17}4  {c |}{col 21}{res}{space 2} .6209381{col 33}{space 2} .0934314{col 44}{space 1}    6.65{col 53}{space 3}0.000{col 61}{space 4}  .437816{col 74}{space 3} .8040602
{txt}{space 17}5  {c |}{col 21}{res}{space 2} .7285633{col 33}{space 2} .0749369{col 44}{space 1}    9.72{col 53}{space 3}0.000{col 61}{space 4} .5816897{col 74}{space 3}  .875437
{txt}{space 17}6  {c |}{col 21}{res}{space 2} .6390994{col 33}{space 2} .0764205{col 44}{space 1}    8.36{col 53}{space 3}0.000{col 61}{space 4}  .489318{col 74}{space 3} .7888808
{txt}{space 17}7  {c |}{col 21}{res}{space 2} .3131637{col 33}{space 2}  .085068{col 44}{space 1}    3.68{col 53}{space 3}0.000{col 61}{space 4} .1464336{col 74}{space 3} .4798939
{txt}{space 17}8  {c |}{col 21}{res}{space 2} .4211493{col 33}{space 2} .0853678{col 44}{space 1}    4.93{col 53}{space 3}0.000{col 61}{space 4} .2538316{col 74}{space 3}  .588467
{txt}{space 17}9  {c |}{col 21}{res}{space 2} .3974354{col 33}{space 2} .0858215{col 44}{space 1}    4.63{col 53}{space 3}0.000{col 61}{space 4} .2292284{col 74}{space 3} .5656424
{txt}{space 16}10  {c |}{col 21}{res}{space 2} .1445044{col 33}{space 2} .0976166{col 44}{space 1}    1.48{col 53}{space 3}0.139{col 61}{space 4}-.0468206{col 74}{space 3} .3358295
{txt}{space 16}11  {c |}{col 21}{res}{space 2} .2213858{col 33}{space 2} .0982039{col 44}{space 1}    2.25{col 53}{space 3}0.024{col 61}{space 4} .0289097{col 74}{space 3} .4138619
{txt}{space 16}12  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2}-2.081049{col 33}{space 2} .1058765{col 44}{space 1}  -19.66{col 53}{space 3}0.000{col 61}{space 4}-2.288563{col 74}{space 3}-1.873535
{txt}{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate             {txt}{c |}
{space 7}prepost_poll {c |}{col 21}{res}{space 2} .4495447{col 33}{space 2}    .0618{col 44}{space 1}    7.27{col 53}{space 3}0.000{col 61}{space 4} .3284188{col 74}{space 3} .5706705
{txt}{space 10}poll_diff {c |}{col 21}{res}{space 2} -.124795{col 33}{space 2} .0361473{col 44}{space 1}   -3.45{col 53}{space 3}0.001{col 61}{space 4}-.1956424{col 74}{space 3}-.0539476
{txt}{space 14}_cons {c |}{col 21}{res}{space 2}-26.32339{col 33}{space 2} .0480411{col 44}{space 1} -547.93{col 53}{space 3}0.000{col 61}{space 4}-26.41754{col 74}{space 3}-26.22923
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_diff##i.prognose                                                       poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(prepost_poll poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5425}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9558}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2709.368}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3356}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9214}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8252}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2320.2283}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2266.3794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2265.6008}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2265.5997}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2265.5997}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}33{txt})     = {res}   1976.51
{txt}Log pseudolikelihood = {res}  -2265.6                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}                 match{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match                  {txt}{c |}
{space 8}1.prepost_poll {c |}{col 24}{res}{space 2} .0256903{col 36}{space 2} .0488057{col 47}{space 1}    0.53{col 56}{space 3}0.599{col 64}{space 4}-.0699671{col 77}{space 3} .1213477
{txt}{space 13}poll_diff {c |}{col 24}{res}{space 2}  .097614{col 36}{space 2} .0574897{col 47}{space 1}    1.70{col 56}{space 3}0.090{col 64}{space 4}-.0150636{col 77}{space 3} .2102917
{txt}{space 22} {c |}
{space 10}prepost_poll#{c |}
{space 11}c.poll_diff {c |}
{space 20}1  {c |}{col 24}{res}{space 2} -.143591{col 36}{space 2} .0673208{col 47}{space 1}   -2.13{col 56}{space 3}0.033{col 64}{space 4}-.2755374{col 77}{space 3}-.0116447
{txt}{space 22} {c |}
{space 14}prognose {c |}
{space 20}1  {c |}{col 24}{res}{space 2}  .015719{col 36}{space 2} .0569153{col 47}{space 1}    0.28{col 56}{space 3}0.782{col 64}{space 4} -.095833{col 77}{space 3}  .127271
{txt}{space 20}2  {c |}{col 24}{res}{space 2} -.197718{col 36}{space 2} .0891481{col 47}{space 1}   -2.22{col 56}{space 3}0.027{col 64}{space 4}-.3724452{col 77}{space 3}-.0229909
{txt}{space 22} {c |}
{space 1}prepost_poll#prognose {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2}-.0704421{col 36}{space 2} .0706816{col 47}{space 1}   -1.00{col 56}{space 3}0.319{col 64}{space 4}-.2089754{col 77}{space 3} .0680913
{txt}{space 18}1 2  {c |}{col 24}{res}{space 2} .1543028{col 36}{space 2} .1057411{col 47}{space 1}    1.46{col 56}{space 3}0.144{col 64}{space 4}-.0529458{col 77}{space 3} .3615515
{txt}{space 22} {c |}
{space 2}prognose#c.poll_diff {c |}
{space 20}1  {c |}{col 24}{res}{space 2}-.0849321{col 36}{space 2} .0709086{col 47}{space 1}   -1.20{col 56}{space 3}0.231{col 64}{space 4}-.2239104{col 77}{space 3} .0540462
{txt}{space 20}2  {c |}{col 24}{res}{space 2}-.0316957{col 36}{space 2}  .101089{col 47}{space 1}   -0.31{col 56}{space 3}0.754{col 64}{space 4}-.2298264{col 77}{space 3}  .166435
{txt}{space 22} {c |}
{space 1}prepost_poll#prognose#{c |}
{space 11}c.poll_diff {c |}
{space 18}1 1  {c |}{col 24}{res}{space 2} .0849278{col 36}{space 2} .0888023{col 47}{space 1}    0.96{col 56}{space 3}0.339{col 64}{space 4}-.0891215{col 77}{space 3} .2589771
{txt}{space 18}1 2  {c |}{col 24}{res}{space 2}-.0176321{col 36}{space 2} .1224487{col 47}{space 1}   -0.14{col 56}{space 3}0.886{col 64}{space 4}-.2576272{col 77}{space 3} .2223629
{txt}{space 22} {c |}
{space 8}poll_neg_accum {c |}{col 24}{res}{space 2} .0001969{col 36}{space 2} .0063224{col 47}{space 1}    0.03{col 56}{space 3}0.975{col 64}{space 4}-.0121947{col 77}{space 3} .0125884
{txt}{space 5}poll_diff_average {c |}{col 24}{res}{space 2} .0055502{col 36}{space 2} .0621952{col 47}{space 1}    0.09{col 56}{space 3}0.929{col 64}{space 4}-.1163501{col 77}{space 3} .1274505
{txt}{space 11}issue_posts {c |}{col 24}{res}{space 2} .2164684{col 36}{space 2} .0056715{col 47}{space 1}   38.17{col 56}{space 3}0.000{col 64}{space 4} .2053525{col 77}{space 3} .2275844
{txt}{space 11}poll_number {c |}{col 24}{res}{space 2} .0200832{col 36}{space 2} .0105796{col 47}{space 1}    1.90{col 56}{space 3}0.058{col 64}{space 4}-.0006525{col 77}{space 3} .0408189
{txt}{space 22} {c |}
{space 17}party {c |}
{space 18}210  {c |}{col 24}{res}{space 2} .0748499{col 36}{space 2} .0778516{col 47}{space 1}    0.96{col 56}{space 3}0.336{col 64}{space 4}-.0777364{col 77}{space 3} .2274361
{txt}{space 18}220  {c |}{col 24}{res}{space 2}-.1812865{col 36}{space 2}  .086016{col 47}{space 1}   -2.11{col 56}{space 3}0.035{col 64}{space 4}-.3498747{col 77}{space 3}-.0126984
{txt}{space 18}320  {c |}{col 24}{res}{space 2} .1033812{col 36}{space 2} .0766361{col 47}{space 1}    1.35{col 56}{space 3}0.177{col 64}{space 4}-.0468229{col 77}{space 3} .2535852
{txt}{space 18}410  {c |}{col 24}{res}{space 2}-.1464084{col 36}{space 2} .0935955{col 47}{space 1}   -1.56{col 56}{space 3}0.118{col 64}{space 4}-.3298522{col 77}{space 3} .0370354
{txt}{space 18}420  {c |}{col 24}{res}{space 2} .0767115{col 36}{space 2} .0768088{col 47}{space 1}    1.00{col 56}{space 3}0.318{col 64}{space 4}-.0738309{col 77}{space 3}  .227254
{txt}{space 18}430  {c |}{col 24}{res}{space 2} .0836922{col 36}{space 2} .0850571{col 47}{space 1}    0.98{col 56}{space 3}0.325{col 64}{space 4}-.0830166{col 77}{space 3} .2504011
{txt}{space 18}620  {c |}{col 24}{res}{space 2} .0915583{col 36}{space 2} .0952774{col 47}{space 1}    0.96{col 56}{space 3}0.337{col 64}{space 4}-.0951819{col 77}{space 3} .2782985
{txt}{space 18}700  {c |}{col 24}{res}{space 2}-.1017303{col 36}{space 2} .0807846{col 47}{space 1}   -1.26{col 56}{space 3}0.208{col 64}{space 4}-.2600653{col 77}{space 3} .0566046
{txt}{space 22} {c |}
{space 11}poll_number {c |}
{space 20}2  {c |}{col 24}{res}{space 2} .5511127{col 36}{space 2}  .086486{col 47}{space 1}    6.37{col 56}{space 3}0.000{col 64}{space 4} .3816034{col 77}{space 3} .7206221
{txt}{space 20}3  {c |}{col 24}{res}{space 2}  .731132{col 36}{space 2} .0852908{col 47}{space 1}    8.57{col 56}{space 3}0.000{col 64}{space 4} .5639652{col 77}{space 3} .8982989
{txt}{space 20}4  {c |}{col 24}{res}{space 2} .6280237{col 36}{space 2}  .093932{col 47}{space 1}    6.69{col 56}{space 3}0.000{col 64}{space 4} .4439203{col 77}{space 3}  .812127
{txt}{space 20}5  {c |}{col 24}{res}{space 2} .7238561{col 36}{space 2} .0755096{col 47}{space 1}    9.59{col 56}{space 3}0.000{col 64}{space 4} .5758601{col 77}{space 3} .8718522
{txt}{space 20}6  {c |}{col 24}{res}{space 2} .6464556{col 36}{space 2} .0764097{col 47}{space 1}    8.46{col 56}{space 3}0.000{col 64}{space 4} .4966955{col 77}{space 3} .7962158
{txt}{space 20}7  {c |}{col 24}{res}{space 2} .3303966{col 36}{space 2} .0850033{col 47}{space 1}    3.89{col 56}{space 3}0.000{col 64}{space 4} .1637933{col 77}{space 3}     .497
{txt}{space 20}8  {c |}{col 24}{res}{space 2} .4273925{col 36}{space 2} .0853592{col 47}{space 1}    5.01{col 56}{space 3}0.000{col 64}{space 4} .2600916{col 77}{space 3} .5946934
{txt}{space 20}9  {c |}{col 24}{res}{space 2} .3959935{col 36}{space 2} .0851858{col 47}{space 1}    4.65{col 56}{space 3}0.000{col 64}{space 4} .2290324{col 77}{space 3} .5629546
{txt}{space 19}10  {c |}{col 24}{res}{space 2}  .141813{col 36}{space 2} .0973914{col 47}{space 1}    1.46{col 56}{space 3}0.145{col 64}{space 4}-.0490706{col 77}{space 3} .3326966
{txt}{space 19}11  {c |}{col 24}{res}{space 2} .2207457{col 36}{space 2} .0974542{col 47}{space 1}    2.27{col 56}{space 3}0.024{col 64}{space 4} .0297389{col 77}{space 3} .4117525
{txt}{space 19}12  {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 22} {c |}
{space 17}_cons {c |}{col 24}{res}{space 2}-2.084951{col 36}{space 2} .1105838{col 47}{space 1}  -18.85{col 56}{space 3}0.000{col 64}{space 4}-2.301691{col 77}{space 3}-1.868211
{txt}{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate                {txt}{c |}
{space 10}prepost_poll {c |}{col 24}{res}{space 2}  .453128{col 36}{space 2} .0617014{col 47}{space 1}    7.34{col 56}{space 3}0.000{col 64}{space 4} .3321954{col 77}{space 3} .5740606
{txt}{space 13}poll_diff {c |}{col 24}{res}{space 2}-.1233487{col 36}{space 2} .0362133{col 47}{space 1}   -3.41{col 56}{space 3}0.001{col 64}{space 4}-.1943254{col 77}{space 3} -.052372
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-26.32607{col 36}{space 2} .0479343{col 47}{space 1} -549.21{col 56}{space 3}0.000{col 64}{space 4}-26.42002{col 77}{space 3}-26.23212
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zip match i.prepost_poll##c.poll_diff##c.issue_ownership                                        poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(prepost_poll poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5425}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9558}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2709.368}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3356}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9214}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8252}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2320.5224}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2267.0807}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2266.3164}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2266.3154}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2266.3154}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}   2041.28
{txt}Log pseudolikelihood = {res}-2266.315                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2}-.1341191{col 31}{space 2} .1435059{col 42}{space 1}   -0.93{col 51}{space 3}0.350{col 59}{space 4}-.4153856{col 72}{space 3} .1471474
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .2306304{col 31}{space 2} .1308862{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.0259018{col 72}{space 3} .4871626
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.4583621{col 31}{space 2} .1760815{col 42}{space 1}   -2.60{col 51}{space 3}0.009{col 59}{space 4}-.8034756{col 72}{space 3}-.1132487
{txt}{space 17} {c |}
{space 2}issue_ownership {c |}{col 19}{res}{space 2}-.0748279{col 31}{space 2}  .049868{col 42}{space 1}   -1.50{col 51}{space 3}0.133{col 59}{space 4}-.1725675{col 72}{space 3} .0229116
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
c.issue_ownership {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .0638567{col 31}{space 2} .0589349{col 42}{space 1}    1.08{col 51}{space 3}0.279{col 59}{space 4}-.0516535{col 72}{space 3}  .179367
{txt}{space 17} {c |}
{space 6}c.poll_diff#{c |}
c.issue_ownership {c |}{col 19}{res}{space 2}-.0744731{col 31}{space 2} .0528311{col 42}{space 1}   -1.41{col 51}{space 3}0.159{col 59}{space 4}-.1780201{col 72}{space 3}  .029074
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff#{c |}
c.issue_ownership {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1465164{col 31}{space 2} .0712256{col 42}{space 1}    2.06{col 51}{space 3}0.040{col 59}{space 4} .0069167{col 72}{space 3} .2861161
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2} .0004282{col 31}{space 2} .0063464{col 42}{space 1}    0.07{col 51}{space 3}0.946{col 59}{space 4}-.0120104{col 72}{space 3} .0128669
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0038493{col 31}{space 2} .0616183{col 42}{space 1}   -0.06{col 51}{space 3}0.950{col 59}{space 4}-.1246189{col 72}{space 3} .1169204
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2168731{col 31}{space 2} .0055623{col 42}{space 1}   38.99{col 51}{space 3}0.000{col 59}{space 4} .2059712{col 72}{space 3}  .227775
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0211272{col 31}{space 2} .0106978{col 42}{space 1}    1.97{col 51}{space 3}0.048{col 59}{space 4} .0001598{col 72}{space 3} .0420946
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0653702{col 31}{space 2} .0773076{col 42}{space 1}    0.85{col 51}{space 3}0.398{col 59}{space 4}  -.08615{col 72}{space 3} .2168904
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1736926{col 31}{space 2} .0855395{col 42}{space 1}   -2.03{col 51}{space 3}0.042{col 59}{space 4}-.3413469{col 72}{space 3}-.0060383
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930762{col 31}{space 2} .0748888{col 42}{space 1}    1.24{col 51}{space 3}0.214{col 59}{space 4} -.053703{col 72}{space 3} .2398555
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1413994{col 31}{space 2} .0918783{col 42}{space 1}   -1.54{col 51}{space 3}0.124{col 59}{space 4}-.3214776{col 72}{space 3} .0386787
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0972489{col 31}{space 2}  .080653{col 42}{space 1}    1.21{col 51}{space 3}0.228{col 59}{space 4}-.0608282{col 72}{space 3} .2553259
{txt}{space 13}430  {c |}{col 19}{res}{space 2}  .104213{col 31}{space 2} .0888915{col 42}{space 1}    1.17{col 51}{space 3}0.241{col 59}{space 4}-.0700111{col 72}{space 3} .2784372
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1324241{col 31}{space 2} .0968488{col 42}{space 1}    1.37{col 51}{space 3}0.172{col 59}{space 4}-.0573961{col 72}{space 3} .3222442
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1186424{col 31}{space 2} .0803217{col 42}{space 1}   -1.48{col 51}{space 3}0.140{col 59}{space 4}  -.27607{col 72}{space 3} .0387853
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5370904{col 31}{space 2} .0867374{col 42}{space 1}    6.19{col 51}{space 3}0.000{col 59}{space 4} .3670883{col 72}{space 3} .7070925
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7243706{col 31}{space 2} .0837415{col 42}{space 1}    8.65{col 51}{space 3}0.000{col 59}{space 4} .5602402{col 72}{space 3} .8885009
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6122981{col 31}{space 2} .0937326{col 42}{space 1}    6.53{col 51}{space 3}0.000{col 59}{space 4} .4285855{col 72}{space 3} .7960107
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7200646{col 31}{space 2} .0757625{col 42}{space 1}    9.50{col 51}{space 3}0.000{col 59}{space 4} .5715728{col 72}{space 3} .8685563
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6298403{col 31}{space 2} .0770823{col 42}{space 1}    8.17{col 51}{space 3}0.000{col 59}{space 4} .4787618{col 72}{space 3} .7809188
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3035461{col 31}{space 2} .0852489{col 42}{space 1}    3.56{col 51}{space 3}0.000{col 59}{space 4} .1364613{col 72}{space 3} .4706309
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .4072407{col 31}{space 2} .0860744{col 42}{space 1}    4.73{col 51}{space 3}0.000{col 59}{space 4} .2385379{col 72}{space 3} .5759435
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3831923{col 31}{space 2} .0867849{col 42}{space 1}    4.42{col 51}{space 3}0.000{col 59}{space 4}  .213097{col 72}{space 3} .5532876
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1197803{col 31}{space 2} .1000996{col 42}{space 1}    1.20{col 51}{space 3}0.231{col 59}{space 4}-.0764112{col 72}{space 3} .3159719
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2062074{col 31}{space 2} .1000108{col 42}{space 1}    2.06{col 51}{space 3}0.039{col 59}{space 4} .0101898{col 72}{space 3}  .402225
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-1.919175{col 31}{space 2} .1532402{col 42}{space 1}  -12.52{col 51}{space 3}0.000{col 59}{space 4} -2.21952{col 72}{space 3} -1.61883
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 5}prepost_poll {c |}{col 19}{res}{space 2} .4558844{col 31}{space 2} .0615837{col 42}{space 1}    7.40{col 51}{space 3}0.000{col 59}{space 4} .3351827{col 72}{space 3} .5765862
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.1257007{col 31}{space 2} .0360644{col 42}{space 1}   -3.49{col 51}{space 3}0.000{col 59}{space 4}-.1963855{col 72}{space 3}-.0550158
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-26.32934{col 31}{space 2} .0477669{col 42}{space 1} -551.20{col 51}{space 3}0.000{col 59}{space 4}-26.42296{col 72}{space 3}-26.23572
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Figure 3 
. quietly zip match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts i.party i.poll_number, vce(robust) infl(i.prepost_poll c.poll_diff) 
{txt}
{com}. quietly margins, dydx(i.prepost) at(c.poll_diff=(-1.7(.01)1.7)) predict(xb) vsquish post
{txt}
{com}. marginsplot, xdimension(at(poll_diff)) recast(line) plotopts(lcolor(black) lwidth(thick) lpattern(solid)) ///
>         recastci(rline) ciopts(lcolor(black) lwidth(med) lpattern(dash)) ///
>         addplot(histogram poll_diff, fcolor(gs10%60) lcolor(gs10%60) below yaxis(2) yscale(alt axis(2))) ///    
>         ytitle(Predicted alignment, size(large) color(black) margin(vsmall)) ///
>         ylabel(-0.4(0.2)0.4, labels labsize(medlarge) labcolor(black)) ///
>         yline(0, lwidth(thin) lpattern(dash) lcolor(black)) ///
>         xtitle(∆Poll, size(large) color(black)) ///
>         xlabel(, labels labsize(medlarge) labcolor(black)) ///
>         xline(0, lwidth(thin) lpattern(dash) lcolor(black)) title(" ") legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: poll_diff{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}.         
. * Figure 4a
. quietly zip match i.prepost_poll##c.poll_diff##c.issue_ownership poll_diff_average issue_posts i.party i.poll_number, vce(robust) infl(i.prepost_poll c.poll_diff) 
{txt}
{com}. quietly margins, dydx(i.prepost) at(c.poll_diff=(-1.7(.01)1.7) issue_ownership=1.5) predict(xb) vsquish post
{txt}
{com}. marginsplot, xdimension(at(poll_diff)) recast(line) plotopts(lcolor(black) lwidth(thick) lpattern(solid)) ///
>         recastci(rline) ciopts(lcolor(black) lwidth(med) lpattern(dash)) ///
>         addplot(histogram poll_diff, fcolor(gs10%60) lcolor(gs10%60) below yaxis(2) yscale(alt axis(2))) ///    
>         ytitle(Predicted alignment, size(large) color(black) margin(vsmall)) ///
>         ylabel(-1(0.5)1, labels labsize(medlarge) labcolor(black)) ///
>         yline(0, lwidth(thin) lpattern(dash) lcolor(black)) ///
>         xtitle(∆Poll, size(large) color(black)) ///
>         xlabel(, labels labsize(medlarge) labcolor(black)) ///
>         xline(0, lwidth(thin) lpattern(dash) lcolor(black)) title(" ") legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: poll_diff{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}. 
. * Figure 4b
. quietly zip match i.prepost_poll##c.poll_diff##c.issue_ownership poll_diff_average issue_posts i.party i.poll_number, vce(robust) infl(i.prepost_poll c.poll_diff) 
{txt}
{com}. quietly margins, dydx(i.prepost) at(c.poll_diff=(-1.7(.01)1.7) issue_ownership=3.5) predict(xb) vsquish post
{txt}
{com}. marginsplot, xdimension(at(poll_diff)) recast(line) plotopts(lcolor(black) lwidth(thick) lpattern(solid)) ///
>         recastci(rline) ciopts(lcolor(black) lwidth(med) lpattern(dash)) ///
>         addplot(histogram poll_diff, fcolor(gs10%60) lcolor(gs10%60) below yaxis(2) yscale(alt axis(2))) ///    
>         ytitle(Predicted alignment, size(large) color(black) margin(vsmall)) ///
>         ylabel(-1(0.5)1, labels labsize(medlarge) labcolor(black)) ///
>         yline(0, lwidth(thin) lpattern(solid) lcolor(black)) ///
>         xtitle(∆Poll, size(large) color(black)) ///
>         xlabel(, labels labsize(medlarge) labcolor(black)) ///
>         title(" ") legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: poll_diff{p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{p 0 4 2}
{txt}(note:  named style
med not found in class
linewidth,  default attributes used)
{p_end}
{com}{txt}{p 0 8} (note:  linewidth  {com}{txt}not found in scheme, default attributes used){p_end}
{res}{txt}
{com}.         
. * Table A5
. zip     match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2321.4048}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2268.4259}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.6803}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   1978.93
{txt}Log pseudolikelihood = {res}-2267.679                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0170343{col 31}{space 2} .0334375{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-.0485019{col 72}{space 3} .0825706
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0445068{col 31}{space 2} .0421906{col 42}{space 1}    1.05{col 51}{space 3}0.291{col 59}{space 4}-.0381853{col 72}{space 3} .1271988
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0976107{col 31}{space 2} .0408221{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.1776206{col 72}{space 3}-.0176008
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008631{col 31}{space 2} .0063242{col 42}{space 1}   -0.14{col 51}{space 3}0.891{col 59}{space 4}-.0132583{col 72}{space 3} .0115322
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0015719{col 31}{space 2} .0620872{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-.1232607{col 72}{space 3} .1201168
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2161966{col 31}{space 2} .0056263{col 42}{space 1}   38.43{col 51}{space 3}0.000{col 59}{space 4} .2051693{col 72}{space 3} .2272239
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0194823{col 31}{space 2} .0105622{col 42}{space 1}    1.84{col 51}{space 3}0.065{col 59}{space 4}-.0012192{col 72}{space 3} .0401838
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0680799{col 31}{space 2} .0773255{col 42}{space 1}    0.88{col 51}{space 3}0.379{col 59}{space 4}-.0834753{col 72}{space 3} .2196351
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1755968{col 31}{space 2} .0855249{col 42}{space 1}   -2.05{col 51}{space 3}0.040{col 59}{space 4}-.3432226{col 72}{space 3} -.007971
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930101{col 31}{space 2} .0759039{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-.0557587{col 72}{space 3}  .241779
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1354691{col 31}{space 2} .0921693{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.3161176{col 72}{space 3} .0451794
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0617903{col 31}{space 2} .0762144{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0875873{col 72}{space 3} .2111678
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .0795003{col 31}{space 2} .0843418{col 42}{space 1}    0.94{col 51}{space 3}0.346{col 59}{space 4}-.0858067{col 72}{space 3} .2448073
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1015088{col 31}{space 2} .0942398{col 42}{space 1}    1.08{col 51}{space 3}0.281{col 59}{space 4}-.0831978{col 72}{space 3} .2862154
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1605607{col 31}{space 2} .0753118{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-.3081692{col 72}{space 3}-.0129523
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5506606{col 31}{space 2} .0863083{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4} .3814995{col 72}{space 3} .7198217
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7298704{col 31}{space 2} .0836429{col 42}{space 1}    8.73{col 51}{space 3}0.000{col 59}{space 4} .5659333{col 72}{space 3} .8938074
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6226225{col 31}{space 2} .0934849{col 42}{space 1}    6.66{col 51}{space 3}0.000{col 59}{space 4} .4393955{col 72}{space 3} .8058496
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7290724{col 31}{space 2} .0749342{col 42}{space 1}    9.73{col 51}{space 3}0.000{col 59}{space 4}  .582204{col 72}{space 3} .8759407
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6392293{col 31}{space 2} .0763915{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} .4895046{col 72}{space 3} .7889539
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3137233{col 31}{space 2} .0850744{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} .1469805{col 72}{space 3} .4804662
{txt}{space 15}8  {c |}{col 19}{res}{space 2}  .422136{col 31}{space 2} .0853769{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4} .2548004{col 72}{space 3} .5894716
{txt}{space 15}9  {c |}{col 19}{res}{space 2}  .397654{col 31}{space 2} .0857393{col 42}{space 1}    4.64{col 51}{space 3}0.000{col 59}{space 4} .2296081{col 72}{space 3} .5656998
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1451198{col 31}{space 2}  .097616{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.0462041{col 72}{space 3} .3364437
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2208377{col 31}{space 2} .0981418{col 42}{space 1}    2.25{col 51}{space 3}0.024{col 59}{space 4} .0284833{col 72}{space 3} .4131922
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.083438{col 31}{space 2} .1054916{col 42}{space 1}  -19.75{col 51}{space 3}0.000{col 59}{space 4}-2.290198{col 72}{space 3}-1.876678
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .4559361{col 31}{space 2} .0616894{col 42}{space 1}    7.39{col 51}{space 3}0.000{col 59}{space 4} .3350271{col 72}{space 3}  .576845
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.2143716{col 31}{space 2} .0653404{col 42}{space 1}   -3.28{col 51}{space 3}0.001{col 59}{space 4}-.3424365{col 72}{space 3}-.0863068
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1368661{col 31}{space 2} .0784664{col 42}{space 1}    1.74{col 51}{space 3}0.081{col 59}{space 4}-.0169253{col 72}{space 3} .2906574
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-26.32823{col 31}{space 2} .0480171{col 42}{space 1} -548.31{col 51}{space 3}0.000{col 59}{space 4}-26.42235{col 72}{space 3}-26.23412
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. zinb    match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3999.139}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2941.4779}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2759.5392}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2719.4583}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2709.1998}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2707.1094}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8419}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8048}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7982}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7967}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7964}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 14:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 15:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 16:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 17:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 18:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 19:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 20:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 21:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 22:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 23:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 24:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 25:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 26:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 27:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 28:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 29:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 30:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 31:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 32:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 33:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 34:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 35:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 36:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 37:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 38:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 39:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 40:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 41:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 42:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 43:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 44:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 45:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 46:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 47:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 48:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 49:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 50:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 51:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 52:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 53:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 54:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 55:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 56:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 57:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 58:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 59:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 60:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 61:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 62:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 63:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 64:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 65:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 66:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 67:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 68:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 69:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 70:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 71:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 72:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 73:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 74:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 75:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 76:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 77:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 78:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 79:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 80:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 81:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 82:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 83:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 84:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 85:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 86:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 87:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 88:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 89:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 90:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 91:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 92:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 93:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 94:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 95:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 96:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 97:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 98:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 99:{space 2}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 100:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 101:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 102:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 103:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 104:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 105:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 106:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 107:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 108:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 109:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 110:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 111:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 112:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 113:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 114:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 115:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 116:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 117:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 118:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 119:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 120:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 121:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 122:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 123:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 124:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 125:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 126:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 127:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 128:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 129:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 130:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 131:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 132:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 133:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 134:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 135:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 136:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 137:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 138:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 139:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 140:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 141:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 142:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 143:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 144:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 145:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 146:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 147:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 148:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 149:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 150:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 151:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 152:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 153:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 154:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 155:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 156:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 157:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 158:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 159:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 160:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 161:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 162:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 163:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 164:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 165:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 166:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 167:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 168:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 169:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 170:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 171:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 172:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 173:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 174:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 175:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 176:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 177:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 178:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 179:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 180:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 181:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 182:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 183:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 184:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 185:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 186:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 187:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 188:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 189:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 190:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 191:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 192:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 193:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 194:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 195:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 196:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 197:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 198:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 199:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 200:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 201:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 202:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 203:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 204:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 205:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 206:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 207:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 208:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 209:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 210:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 211:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 212:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 213:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 214:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 215:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 216:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 217:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 218:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 219:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 220:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 221:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 222:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 223:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 224:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 225:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 226:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 227:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 228:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 229:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 230:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 231:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 232:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 233:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 234:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 235:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 236:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 237:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 238:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 239:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 240:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 241:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 242:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 243:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 244:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 245:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 246:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 247:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 248:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 249:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 250:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 251:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 252:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 253:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 254:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 255:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 256:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 257:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 258:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 259:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 260:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 261:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 262:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 263:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 264:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 265:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 266:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 267:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 268:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 269:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 270:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 271:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 272:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 273:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 274:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 275:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 276:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 277:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 278:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 279:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 280:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 281:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 282:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 283:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 284:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 285:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 286:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 287:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 288:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 289:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 290:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 291:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 292:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 293:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 294:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 295:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 296:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 297:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 298:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 299:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 300:{space 1}log pseudolikelihood = {res:-2706.7962}  (not concave)
{err}convergence not achieved
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7962}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2394.8614}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2274.6068}  
Iteration 3:{space 3}log pseudolikelihood = {res: -2267.699}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Zero-inflated negative binomial regression      Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   1978.93
{txt}Log pseudolikelihood = {res}-2267.679                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0170343{col 31}{space 2} .0334375{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-.0485019{col 72}{space 3} .0825706
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0445067{col 31}{space 2} .0421906{col 42}{space 1}    1.05{col 51}{space 3}0.291{col 59}{space 4}-.0381853{col 72}{space 3} .1271987
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0976106{col 31}{space 2} .0408221{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.1776205{col 72}{space 3}-.0176008
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008631{col 31}{space 2} .0063242{col 42}{space 1}   -0.14{col 51}{space 3}0.891{col 59}{space 4}-.0132583{col 72}{space 3} .0115322
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0015719{col 31}{space 2} .0620871{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-.1232604{col 72}{space 3} .1201166
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2161967{col 31}{space 2} .0056263{col 42}{space 1}   38.43{col 51}{space 3}0.000{col 59}{space 4} .2051694{col 72}{space 3} .2272239
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0194815{col 31}{space 2} .0105621{col 42}{space 1}    1.84{col 51}{space 3}0.065{col 59}{space 4}-.0012198{col 72}{space 3} .0401829
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0680799{col 31}{space 2} .0773255{col 42}{space 1}    0.88{col 51}{space 3}0.379{col 59}{space 4}-.0834753{col 72}{space 3}  .219635
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1755969{col 31}{space 2} .0855249{col 42}{space 1}   -2.05{col 51}{space 3}0.040{col 59}{space 4}-.3432226{col 72}{space 3}-.0079712
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930101{col 31}{space 2} .0759038{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-.0557587{col 72}{space 3} .2417789
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1354691{col 31}{space 2} .0921693{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.3161175{col 72}{space 3} .0451793
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0617903{col 31}{space 2} .0762144{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0875872{col 72}{space 3} .2111678
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .0795003{col 31}{space 2} .0843418{col 42}{space 1}    0.94{col 51}{space 3}0.346{col 59}{space 4}-.0858066{col 72}{space 3} .2448072
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1015087{col 31}{space 2} .0942397{col 42}{space 1}    1.08{col 51}{space 3}0.281{col 59}{space 4}-.0831977{col 72}{space 3} .2862152
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1605607{col 31}{space 2} .0753118{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-.3081691{col 72}{space 3}-.0129522
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2}  .550651{col 31}{space 2} .0863075{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4} .3814913{col 72}{space 3} .7198106
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7298615{col 31}{space 2} .0836423{col 42}{space 1}    8.73{col 51}{space 3}0.000{col 59}{space 4} .5659256{col 72}{space 3} .8937973
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6226145{col 31}{space 2} .0934844{col 42}{space 1}    6.66{col 51}{space 3}0.000{col 59}{space 4} .4393883{col 72}{space 3} .8058406
{txt}{space 15}5  {c |}{col 19}{res}{space 2}  .729065{col 31}{space 2} .0749338{col 42}{space 1}    9.73{col 51}{space 3}0.000{col 59}{space 4} .5821975{col 72}{space 3} .8759325
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6392227{col 31}{space 2} .0763912{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} .4894987{col 72}{space 3} .7889467
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3137175{col 31}{space 2} .0850742{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} .1469752{col 72}{space 3} .4804599
{txt}{space 15}8  {c |}{col 19}{res}{space 2}  .422131{col 31}{space 2} .0853767{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4} .2547957{col 72}{space 3} .5894662
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3976497{col 31}{space 2} .0857391{col 42}{space 1}    4.64{col 51}{space 3}0.000{col 59}{space 4} .2296041{col 72}{space 3} .5656953
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1451164{col 31}{space 2} .0976159{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.0462072{col 72}{space 3} .3364401
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2208349{col 31}{space 2} .0981417{col 42}{space 1}    2.25{col 51}{space 3}0.024{col 59}{space 4} .0284806{col 72}{space 3} .4131891
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.083427{col 31}{space 2} .1054908{col 42}{space 1}  -19.75{col 51}{space 3}0.000{col 59}{space 4}-2.290185{col 72}{space 3}-1.876669
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2}-.2615738{col 31}{space 2} .0617071{col 42}{space 1}   -4.24{col 51}{space 3}0.000{col 59}{space 4}-.3825175{col 72}{space 3}  -.14063
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0424807{col 31}{space 2} .0645428{col 42}{space 1}    0.66{col 51}{space 3}0.510{col 59}{space 4}-.0840209{col 72}{space 3} .1689823
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0557336{col 31}{space 2} .0779201{col 42}{space 1}   -0.72{col 51}{space 3}0.474{col 59}{space 4}-.2084541{col 72}{space 3}  .096987
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-22.84443{col 31}{space 2} .0480254{col 42}{space 1} -475.67{col 51}{space 3}0.000{col 59}{space 4}-22.93856{col 72}{space 3} -22.7503
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}-22.64152{col 31}{space 2} .2174358{col 42}{space 1} -104.13{col 51}{space 3}0.000{col 59}{space 4}-23.06769{col 72}{space 3}-22.21535
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 1.47e-10{col 31}{space 2} 3.19e-11{col 59}{space 4} 9.59e-11{col 72}{space 3} 2.25e-10
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. poisson match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust)
{txt}note: you are responsible for interpretation of noncount dep. variable
note: 12.poll_number omitted because of collinearity
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2279.1061}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2267.7008}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Poisson regression{col 49}Number of obs{col 67}= {res}     3,358
{txt}{col 49}Wald chi2({res}25{txt}){col 67}= {res}   1978.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2267.6793{txt}{col 49}Pseudo R2{col 67}= {res}    0.1622

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0170343{col 31}{space 2} .0334375{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-.0485019{col 72}{space 3} .0825706
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0445067{col 31}{space 2} .0421906{col 42}{space 1}    1.05{col 51}{space 3}0.291{col 59}{space 4}-.0381853{col 72}{space 3} .1271987
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0976106{col 31}{space 2} .0408221{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.1776205{col 72}{space 3}-.0176008
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008631{col 31}{space 2} .0063242{col 42}{space 1}   -0.14{col 51}{space 3}0.891{col 59}{space 4}-.0132583{col 72}{space 3} .0115322
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0015719{col 31}{space 2} .0620871{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-.1232604{col 72}{space 3} .1201166
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2161967{col 31}{space 2} .0056263{col 42}{space 1}   38.43{col 51}{space 3}0.000{col 59}{space 4} .2051694{col 72}{space 3} .2272239
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0194815{col 31}{space 2} .0105621{col 42}{space 1}    1.84{col 51}{space 3}0.065{col 59}{space 4}-.0012198{col 72}{space 3} .0401829
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0680799{col 31}{space 2} .0773255{col 42}{space 1}    0.88{col 51}{space 3}0.379{col 59}{space 4}-.0834753{col 72}{space 3}  .219635
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1755969{col 31}{space 2} .0855249{col 42}{space 1}   -2.05{col 51}{space 3}0.040{col 59}{space 4}-.3432226{col 72}{space 3}-.0079712
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930101{col 31}{space 2} .0759038{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-.0557587{col 72}{space 3} .2417789
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1354691{col 31}{space 2} .0921693{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.3161175{col 72}{space 3} .0451793
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0617903{col 31}{space 2} .0762144{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0875872{col 72}{space 3} .2111678
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .0795003{col 31}{space 2} .0843418{col 42}{space 1}    0.94{col 51}{space 3}0.346{col 59}{space 4}-.0858066{col 72}{space 3} .2448072
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1015087{col 31}{space 2} .0942397{col 42}{space 1}    1.08{col 51}{space 3}0.281{col 59}{space 4}-.0831977{col 72}{space 3} .2862152
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1605607{col 31}{space 2} .0753118{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-.3081691{col 72}{space 3}-.0129522
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2}  .550651{col 31}{space 2} .0863075{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4} .3814913{col 72}{space 3} .7198106
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7298615{col 31}{space 2} .0836423{col 42}{space 1}    8.73{col 51}{space 3}0.000{col 59}{space 4} .5659256{col 72}{space 3} .8937973
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6226145{col 31}{space 2} .0934844{col 42}{space 1}    6.66{col 51}{space 3}0.000{col 59}{space 4} .4393883{col 72}{space 3} .8058406
{txt}{space 15}5  {c |}{col 19}{res}{space 2}  .729065{col 31}{space 2} .0749338{col 42}{space 1}    9.73{col 51}{space 3}0.000{col 59}{space 4} .5821975{col 72}{space 3} .8759325
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6392227{col 31}{space 2} .0763912{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} .4894987{col 72}{space 3} .7889467
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3137175{col 31}{space 2} .0850742{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} .1469752{col 72}{space 3} .4804599
{txt}{space 15}8  {c |}{col 19}{res}{space 2}  .422131{col 31}{space 2} .0853767{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4} .2547957{col 72}{space 3} .5894662
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3976497{col 31}{space 2} .0857391{col 42}{space 1}    4.64{col 51}{space 3}0.000{col 59}{space 4} .2296041{col 72}{space 3} .5656953
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1451164{col 31}{space 2} .0976159{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.0462072{col 72}{space 3} .3364401
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2208349{col 31}{space 2} .0981417{col 42}{space 1}    2.25{col 51}{space 3}0.024{col 59}{space 4} .0284806{col 72}{space 3} .4131891
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.083427{col 31}{space 2} .1054908{col 42}{space 1}  -19.75{col 51}{space 3}0.000{col 59}{space 4}-2.290185{col 72}{space 3}-1.876669
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. xtreg   match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust)
{txt}note: 12.poll_number omitted because of collinearity
{res}
{txt}Random-effects GLS regression                   Number of obs     = {res}     3,358
{txt}Group variable: {res}panel                           {txt}Number of groups  = {res}     1,752

{txt}R-sq:                                           Obs per group:
     within  = {res}0.4172                                         {txt}min = {res}         1
{txt}     between = {res}0.6228                                         {txt}avg = {res}       1.9
{txt}     overall = {res}0.5570                                         {txt}max = {res}         2

                                                {txt}Wald chi2({res}25{txt})     =  {res}  2415.62
{txt}corr(u_i, X)   = {res}0{txt} (assumed)                    Prob > chi2       =     {res}0.0000

{txt}{ralign 83:(Std. Err. adjusted for {res:1,752} clusters in panel)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} -.012184{col 31}{space 2} .0118941{col 42}{space 1}   -1.02{col 51}{space 3}0.306{col 59}{space 4}-.0354961{col 72}{space 3}  .011128
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0160124{col 31}{space 2} .0166955{col 42}{space 1}    0.96{col 51}{space 3}0.338{col 59}{space 4}-.0167102{col 72}{space 3} .0487351
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0319575{col 31}{space 2} .0127059{col 42}{space 1}   -2.52{col 51}{space 3}0.012{col 59}{space 4}-.0568605{col 72}{space 3}-.0070545
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008798{col 31}{space 2} .0023572{col 42}{space 1}   -0.37{col 51}{space 3}0.709{col 59}{space 4}-.0054998{col 72}{space 3} .0037403
{txt}poll_diff_average {c |}{col 19}{res}{space 2} .0122769{col 31}{space 2} .0194426{col 42}{space 1}    0.63{col 51}{space 3}0.528{col 59}{space 4}  -.02583{col 72}{space 3} .0503838
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .1504205{col 31}{space 2} .0037283{col 42}{space 1}   40.35{col 51}{space 3}0.000{col 59}{space 4} .1431131{col 72}{space 3} .1577279
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0077541{col 31}{space 2} .0019512{col 42}{space 1}    3.97{col 51}{space 3}0.000{col 59}{space 4} .0039298{col 72}{space 3} .0115783
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2}-.0263615{col 31}{space 2} .0362948{col 42}{space 1}   -0.73{col 51}{space 3}0.468{col 59}{space 4}-.0974981{col 72}{space 3} .0447751
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1394847{col 31}{space 2} .0453081{col 42}{space 1}   -3.08{col 51}{space 3}0.002{col 59}{space 4} -.228287{col 72}{space 3}-.0506824
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0160589{col 31}{space 2} .0306596{col 42}{space 1}    0.52{col 51}{space 3}0.600{col 59}{space 4}-.0440327{col 72}{space 3} .0761506
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.0845268{col 31}{space 2} .0386788{col 42}{space 1}   -2.19{col 51}{space 3}0.029{col 59}{space 4} -.160336{col 72}{space 3}-.0087177
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0173208{col 31}{space 2} .0315443{col 42}{space 1}    0.55{col 51}{space 3}0.583{col 59}{space 4} -.044505{col 72}{space 3} .0791465
{txt}{space 13}430  {c |}{col 19}{res}{space 2}  .013553{col 31}{space 2}  .034543{col 42}{space 1}    0.39{col 51}{space 3}0.695{col 59}{space 4}-.0541501{col 72}{space 3} .0812561
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .0291611{col 31}{space 2} .0437238{col 42}{space 1}    0.67{col 51}{space 3}0.505{col 59}{space 4}-.0565361{col 72}{space 3} .1148583
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.0339087{col 31}{space 2} .0329745{col 42}{space 1}   -1.03{col 51}{space 3}0.304{col 59}{space 4}-.0985376{col 72}{space 3} .0307203
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .0928422{col 31}{space 2}  .024243{col 42}{space 1}    3.83{col 51}{space 3}0.000{col 59}{space 4} .0453268{col 72}{space 3} .1403577
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .2325749{col 31}{space 2} .0331312{col 42}{space 1}    7.02{col 51}{space 3}0.000{col 59}{space 4}  .167639{col 72}{space 3} .2975107
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .1355939{col 31}{space 2} .0286909{col 42}{space 1}    4.73{col 51}{space 3}0.000{col 59}{space 4} .0793608{col 72}{space 3}  .191827
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .1938938{col 31}{space 2} .0296882{col 42}{space 1}    6.53{col 51}{space 3}0.000{col 59}{space 4}  .135706{col 72}{space 3} .2520816
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .1586339{col 31}{space 2} .0281043{col 42}{space 1}    5.64{col 51}{space 3}0.000{col 59}{space 4} .1035505{col 72}{space 3} .2137174
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .0112034{col 31}{space 2}  .022601{col 42}{space 1}    0.50{col 51}{space 3}0.620{col 59}{space 4}-.0330938{col 72}{space 3} .0555006
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .0746328{col 31}{space 2} .0238483{col 42}{space 1}    3.13{col 51}{space 3}0.002{col 59}{space 4}  .027891{col 72}{space 3} .1213747
{txt}{space 15}9  {c |}{col 19}{res}{space 2}  .041978{col 31}{space 2} .0258345{col 42}{space 1}    1.62{col 51}{space 3}0.104{col 59}{space 4}-.0086568{col 72}{space 3} .0926127
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .0025616{col 31}{space 2} .0211307{col 42}{space 1}    0.12{col 51}{space 3}0.904{col 59}{space 4}-.0388538{col 72}{space 3} .0439769
{txt}{space 14}11  {c |}{col 19}{res}{space 2}-.0483927{col 31}{space 2} .0294443{col 42}{space 1}   -1.64{col 51}{space 3}0.100{col 59}{space 4}-.1061026{col 72}{space 3} .0093171
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-.0086568{col 31}{space 2}  .030907{col 42}{space 1}   -0.28{col 51}{space 3}0.779{col 59}{space 4}-.0692335{col 72}{space 3} .0519198
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          sigma_u {c |} {res} .09795039
          {txt}sigma_e {c |} {res} .33336307
              {txt}rho {c |} {res} .07947204{txt}   (fraction of variance due to u_i)
{hline 18}{c BT}{hline 64}

{com}. nbreg   match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust)
{txt}note: you are responsible for interpretation of non-count dep. variable
note: 12.poll_number omitted because of collinearity

Fitting Poisson model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2279.1061}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2267.7008}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3000.8299}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2706.7958}  (not concave)
Iteration 2:{space 3}log pseudolikelihood = {res:-2706.7956}  (not concave)
Iteration 3:{space 3}log pseudolikelihood = {res:-2706.7956}  (not concave)
Iteration 4:{space 3}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 13:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 14:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 15:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 16:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 17:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 18:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 19:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 20:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 21:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 22:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 23:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 24:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 25:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 26:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 27:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 28:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 29:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 30:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 31:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 32:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 33:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 34:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 35:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 36:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 37:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 38:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 39:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 40:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 41:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 42:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 43:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 44:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 45:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 46:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 47:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 48:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 49:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 50:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 51:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 52:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 53:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 54:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 55:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 56:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 57:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 58:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 59:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 60:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 61:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 62:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 63:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 64:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 65:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 66:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 67:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 68:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 69:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 70:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 71:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 72:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 73:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 74:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 75:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 76:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 77:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 78:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 79:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 80:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 81:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 82:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 83:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 84:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 85:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 86:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 87:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 88:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 89:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 90:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 91:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 92:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 93:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 94:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 95:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 96:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 97:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 98:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 99:{space 2}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 100:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 101:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 102:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 103:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 104:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 105:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 106:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 107:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 108:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 109:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 110:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 111:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 112:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 113:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 114:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 115:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 116:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 117:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 118:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 119:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 120:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 121:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 122:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 123:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 124:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 125:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 126:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 127:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 128:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 129:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 130:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 131:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 132:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 133:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 134:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 135:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 136:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 137:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 138:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 139:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 140:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 141:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 142:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 143:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 144:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 145:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 146:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 147:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 148:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 149:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 150:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 151:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 152:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 153:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 154:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 155:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 156:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 157:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 158:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 159:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 160:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 161:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 162:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 163:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 164:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 165:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 166:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 167:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 168:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 169:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 170:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 171:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 172:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 173:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 174:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 175:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 176:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 177:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 178:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 179:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 180:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 181:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 182:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 183:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 184:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 185:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 186:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 187:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 188:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 189:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 190:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 191:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 192:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 193:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 194:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 195:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 196:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 197:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 198:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 199:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 200:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 201:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 202:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 203:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 204:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 205:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 206:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 207:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 208:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 209:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 210:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 211:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 212:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 213:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 214:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 215:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 216:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 217:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 218:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 219:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 220:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 221:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 222:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 223:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 224:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 225:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 226:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 227:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 228:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 229:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 230:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 231:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 232:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 233:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 234:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 235:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 236:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 237:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 238:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 239:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 240:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 241:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 242:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 243:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 244:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 245:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 246:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 247:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 248:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 249:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 250:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 251:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 252:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 253:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 254:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 255:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 256:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 257:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 258:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 259:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 260:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 261:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 262:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 263:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 264:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 265:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 266:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 267:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 268:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 269:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 270:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 271:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 272:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 273:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 274:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 275:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 276:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 277:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 278:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 279:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 280:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 281:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 282:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 283:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 284:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 285:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 286:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 287:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 288:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 289:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 290:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 291:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 292:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 293:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 294:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 295:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 296:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 297:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 298:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 299:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
Iteration 300:{space 1}log pseudolikelihood = {res:-2706.7946}  (not concave)
{err}convergence not achieved
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2315.7128}  (not concave)
Iteration 1:{space 3}log pseudolikelihood = {res:-2268.8361}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2267.6807}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2267.6793}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2267.6793}  
{res}
{txt}Negative binomial regression{col 49}Number of obs{col 67}= {res}     3,358
{txt}{col 49}Wald chi2({res}25{txt}){col 67}= {res}   1978.93
{txt}{col 1}Dispersion{col 22}= {res}mean{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2267.6793{txt}{col 49}Pseudo R2{col 67}= {res}    0.1622

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0170343{col 31}{space 2} .0334375{col 42}{space 1}    0.51{col 51}{space 3}0.610{col 59}{space 4}-.0485019{col 72}{space 3} .0825706
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0445067{col 31}{space 2} .0421906{col 42}{space 1}    1.05{col 51}{space 3}0.291{col 59}{space 4}-.0381853{col 72}{space 3} .1271987
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0976106{col 31}{space 2} .0408221{col 42}{space 1}   -2.39{col 51}{space 3}0.017{col 59}{space 4}-.1776205{col 72}{space 3}-.0176008
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0008631{col 31}{space 2} .0063242{col 42}{space 1}   -0.14{col 51}{space 3}0.891{col 59}{space 4}-.0132583{col 72}{space 3} .0115322
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0015719{col 31}{space 2} .0620871{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-.1232604{col 72}{space 3} .1201166
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2161967{col 31}{space 2} .0056263{col 42}{space 1}   38.43{col 51}{space 3}0.000{col 59}{space 4} .2051694{col 72}{space 3} .2272239
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0194815{col 31}{space 2} .0105621{col 42}{space 1}    1.84{col 51}{space 3}0.065{col 59}{space 4}-.0012198{col 72}{space 3} .0401829
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0680799{col 31}{space 2} .0773255{col 42}{space 1}    0.88{col 51}{space 3}0.379{col 59}{space 4}-.0834753{col 72}{space 3}  .219635
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1755969{col 31}{space 2} .0855249{col 42}{space 1}   -2.05{col 51}{space 3}0.040{col 59}{space 4}-.3432226{col 72}{space 3}-.0079712
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0930101{col 31}{space 2} .0759038{col 42}{space 1}    1.23{col 51}{space 3}0.220{col 59}{space 4}-.0557587{col 72}{space 3} .2417789
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1354691{col 31}{space 2} .0921693{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-.3161175{col 72}{space 3} .0451793
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0617903{col 31}{space 2} .0762144{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0875872{col 72}{space 3} .2111678
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .0795003{col 31}{space 2} .0843418{col 42}{space 1}    0.94{col 51}{space 3}0.346{col 59}{space 4}-.0858066{col 72}{space 3} .2448072
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1015087{col 31}{space 2} .0942397{col 42}{space 1}    1.08{col 51}{space 3}0.281{col 59}{space 4}-.0831977{col 72}{space 3} .2862152
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1605607{col 31}{space 2} .0753118{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-.3081691{col 72}{space 3}-.0129522
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2}  .550651{col 31}{space 2} .0863075{col 42}{space 1}    6.38{col 51}{space 3}0.000{col 59}{space 4} .3814913{col 72}{space 3} .7198106
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7298615{col 31}{space 2} .0836423{col 42}{space 1}    8.73{col 51}{space 3}0.000{col 59}{space 4} .5659256{col 72}{space 3} .8937973
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6226145{col 31}{space 2} .0934844{col 42}{space 1}    6.66{col 51}{space 3}0.000{col 59}{space 4} .4393883{col 72}{space 3} .8058406
{txt}{space 15}5  {c |}{col 19}{res}{space 2}  .729065{col 31}{space 2} .0749338{col 42}{space 1}    9.73{col 51}{space 3}0.000{col 59}{space 4} .5821975{col 72}{space 3} .8759325
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .6392227{col 31}{space 2} .0763912{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} .4894987{col 72}{space 3} .7889467
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .3137175{col 31}{space 2} .0850742{col 42}{space 1}    3.69{col 51}{space 3}0.000{col 59}{space 4} .1469752{col 72}{space 3} .4804599
{txt}{space 15}8  {c |}{col 19}{res}{space 2}  .422131{col 31}{space 2} .0853767{col 42}{space 1}    4.94{col 51}{space 3}0.000{col 59}{space 4} .2547957{col 72}{space 3} .5894662
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3976497{col 31}{space 2} .0857391{col 42}{space 1}    4.64{col 51}{space 3}0.000{col 59}{space 4} .2296041{col 72}{space 3} .5656953
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1451164{col 31}{space 2} .0976159{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.0462072{col 72}{space 3} .3364401
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2208349{col 31}{space 2} .0981417{col 42}{space 1}    2.25{col 51}{space 3}0.024{col 59}{space 4} .0284806{col 72}{space 3} .4131891
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.083427{col 31}{space 2} .1054908{col 42}{space 1}  -19.75{col 51}{space 3}0.000{col 59}{space 4}-2.290185{col 72}{space 3}-1.876669
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}/lnalpha {c |}{col 19}{res}{space 2}-41.33689{col 31}{space 2}        .{col 59}{space 4}        .{col 72}{space 3}        .
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
            alpha {c |}{col 19}{res}{space 2} 1.12e-18{col 31}{space 2}        .{col 59}{space 4}        .{col 72}{space 3}        .
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A6
. g match2 = match // We generate a dicotomous dependent variable
{txt}
{com}.         recode match2 (0.1/5=1)
{txt}(match2: 1417 changes made)

{com}. logit match2 i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) 

{txt}note: 12.poll_number omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2305.3539}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1425.3923}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1330.4759}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1325.1402}  
Iteration 4:{space 3}log pseudolikelihood = {res: -1325.137}  
Iteration 5:{space 3}log pseudolikelihood = {res: -1325.137}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,358
{txt}{col 49}Wald chi2({res}25{txt}){col 67}= {res}    613.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res} -1325.137{txt}{col 49}Pseudo R2{col 67}= {res}    0.4252

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}           match2{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .5851179{col 31}{space 2} .0954555{col 42}{space 1}    6.13{col 51}{space 3}0.000{col 59}{space 4} .3980286{col 72}{space 3} .7722072
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .1690308{col 31}{space 2} .1170073{col 42}{space 1}    1.44{col 51}{space 3}0.149{col 59}{space 4}-.0602992{col 72}{space 3} .3983608
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} -.270988{col 31}{space 2} .1082443{col 42}{space 1}   -2.50{col 51}{space 3}0.012{col 59}{space 4} -.483143{col 72}{space 3} -.058833
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0055117{col 31}{space 2} .0179043{col 42}{space 1}   -0.31{col 51}{space 3}0.758{col 59}{space 4}-.0406035{col 72}{space 3} .0295801
{txt}poll_diff_average {c |}{col 19}{res}{space 2} .0994238{col 31}{space 2} .1679541{col 42}{space 1}    0.59{col 51}{space 3}0.554{col 59}{space 4}-.2297603{col 72}{space 3} .4286079
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} 1.186227{col 31}{space 2} .0604863{col 42}{space 1}   19.61{col 51}{space 3}0.000{col 59}{space 4} 1.067676{col 72}{space 3} 1.304778
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0461721{col 31}{space 2} .0224687{col 42}{space 1}    2.05{col 51}{space 3}0.040{col 59}{space 4} .0021343{col 72}{space 3} .0902099
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2}-.2956563{col 31}{space 2} .3033302{col 42}{space 1}   -0.97{col 51}{space 3}0.330{col 59}{space 4}-.8901725{col 72}{space 3} .2988599
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.8812966{col 31}{space 2} .5215485{col 42}{space 1}   -1.69{col 51}{space 3}0.091{col 59}{space 4}-1.903513{col 72}{space 3} .1409196
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0096728{col 31}{space 2} .2658484{col 42}{space 1}    0.04{col 51}{space 3}0.971{col 59}{space 4}-.5113805{col 72}{space 3} .5307262
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.6871916{col 31}{space 2} .3601675{col 42}{space 1}   -1.91{col 51}{space 3}0.056{col 59}{space 4}-1.393107{col 72}{space 3} .0187238
{txt}{space 13}420  {c |}{col 19}{res}{space 2}-.0111511{col 31}{space 2} .2600428{col 42}{space 1}   -0.04{col 51}{space 3}0.966{col 59}{space 4}-.5208257{col 72}{space 3} .4985235
{txt}{space 13}430  {c |}{col 19}{res}{space 2}-.3159354{col 31}{space 2} .2873458{col 42}{space 1}   -1.10{col 51}{space 3}0.272{col 59}{space 4}-.8791229{col 72}{space 3} .2472521
{txt}{space 13}620  {c |}{col 19}{res}{space 2}-.5071559{col 31}{space 2} .3457094{col 42}{space 1}   -1.47{col 51}{space 3}0.142{col 59}{space 4}-1.184734{col 72}{space 3}  .170422
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.2850372{col 31}{space 2} .2660778{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}  -.80654{col 72}{space 3} .2364657
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .6520664{col 31}{space 2} .2388508{col 42}{space 1}    2.73{col 51}{space 3}0.006{col 59}{space 4} .1839275{col 72}{space 3} 1.120205
{txt}{space 15}3  {c |}{col 19}{res}{space 2} 1.875528{col 31}{space 2} .2466467{col 42}{space 1}    7.60{col 51}{space 3}0.000{col 59}{space 4} 1.392109{col 72}{space 3} 2.358946
{txt}{space 15}4  {c |}{col 19}{res}{space 2} 1.619544{col 31}{space 2} .2517495{col 42}{space 1}    6.43{col 51}{space 3}0.000{col 59}{space 4} 1.126124{col 72}{space 3} 2.112964
{txt}{space 15}5  {c |}{col 19}{res}{space 2} 1.248681{col 31}{space 2} .2271954{col 42}{space 1}    5.50{col 51}{space 3}0.000{col 59}{space 4} .8033856{col 72}{space 3} 1.693975
{txt}{space 15}6  {c |}{col 19}{res}{space 2} 1.155234{col 31}{space 2} .2056352{col 42}{space 1}    5.62{col 51}{space 3}0.000{col 59}{space 4} .7521961{col 72}{space 3} 1.558271
{txt}{space 15}7  {c |}{col 19}{res}{space 2}  .398512{col 31}{space 2} .2048642{col 42}{space 1}    1.95{col 51}{space 3}0.052{col 59}{space 4}-.0030145{col 72}{space 3} .8000384
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .6421154{col 31}{space 2} .2003105{col 42}{space 1}    3.21{col 51}{space 3}0.001{col 59}{space 4}  .249514{col 72}{space 3} 1.034717
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .8990049{col 31}{space 2} .1987199{col 42}{space 1}    4.52{col 51}{space 3}0.000{col 59}{space 4}  .509521{col 72}{space 3} 1.288489
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .4532695{col 31}{space 2} .1868506{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .0870492{col 72}{space 3} .8194899
{txt}{space 14}11  {c |}{col 19}{res}{space 2}-.0008104{col 31}{space 2}  .241308{col 42}{space 1}   -0.00{col 51}{space 3}0.997{col 59}{space 4}-.4737653{col 72}{space 3} .4721445
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.859631{col 31}{space 2}   .30349{col 42}{space 1}   -9.42{col 51}{space 3}0.000{col 59}{space 4} -3.45446{col 72}{space 3}-2.264801
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A10
. zip match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number if poll_diff > -1 & poll_diff < 1, vce(robust) infl(i.prepost_poll##c.poll_diff) // We only analyze poll changes larger than +/- 1 pct. point. 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2547.7446}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1959.2299}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1893.1502}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1885.9665}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1884.6438}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1884.3554}  
Iteration 6:{space 3}log pseudolikelihood = {res:-1884.2839}  
Iteration 7:{space 3}log pseudolikelihood = {res:-1884.2694}  
Iteration 8:{space 3}log pseudolikelihood = {res:-1884.2663}  
Iteration 9:{space 3}log pseudolikelihood = {res:-1884.2656}  
Iteration 10:{space 2}log pseudolikelihood = {res:-1884.2654}  
Iteration 11:{space 2}log pseudolikelihood = {res:-1884.2653}  
Iteration 12:{space 2}log pseudolikelihood = {res:-1884.2653}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-1884.2653}  
Iteration 1:{space 3}log pseudolikelihood = {res:-1848.9433}  
Iteration 2:{space 3}log pseudolikelihood = {res:-1596.4768}  
Iteration 3:{space 3}log pseudolikelihood = {res:-1590.4386}  
Iteration 4:{space 3}log pseudolikelihood = {res:-1590.4055}  
Iteration 5:{space 3}log pseudolikelihood = {res:-1590.4055}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     2,267
                                                {txt}Nonzero obs       = {res}     1,319
                                                {txt}Zero obs          = {res}       948

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   1518.59
{txt}Log pseudolikelihood = {res}-1590.405                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0312277{col 31}{space 2} .0385255{col 42}{space 1}    0.81{col 51}{space 3}0.418{col 59}{space 4}-.0442809{col 72}{space 3} .1067364
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.0089116{col 31}{space 2} .0941473{col 42}{space 1}   -0.09{col 51}{space 3}0.925{col 59}{space 4} -.193437{col 72}{space 3} .1756138
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.1673477{col 31}{space 2} .0861956{col 42}{space 1}   -1.94{col 51}{space 3}0.052{col 59}{space 4}-.3362881{col 72}{space 3} .0015926
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0112417{col 31}{space 2} .0095424{col 42}{space 1}   -1.18{col 51}{space 3}0.239{col 59}{space 4}-.0299445{col 72}{space 3} .0074612
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.2022978{col 31}{space 2}  .147669{col 42}{space 1}   -1.37{col 51}{space 3}0.171{col 59}{space 4}-.4917236{col 72}{space 3} .0871281
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2051945{col 31}{space 2} .0062514{col 42}{space 1}   32.82{col 51}{space 3}0.000{col 59}{space 4} .1929419{col 72}{space 3}  .217447
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2}  .021707{col 31}{space 2} .0146275{col 42}{space 1}    1.48{col 51}{space 3}0.138{col 59}{space 4}-.0069624{col 72}{space 3} .0503763
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0806779{col 31}{space 2} .0853093{col 42}{space 1}    0.95{col 51}{space 3}0.344{col 59}{space 4}-.0865253{col 72}{space 3} .2478811
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1097836{col 31}{space 2} .0896386{col 42}{space 1}   -1.22{col 51}{space 3}0.221{col 59}{space 4} -.285472{col 72}{space 3} .0659048
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .2592576{col 31}{space 2} .1024813{col 42}{space 1}    2.53{col 51}{space 3}0.011{col 59}{space 4}  .058398{col 72}{space 3} .4601172
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.0480387{col 31}{space 2}  .098668{col 42}{space 1}   -0.49{col 51}{space 3}0.626{col 59}{space 4}-.2414244{col 72}{space 3}  .145347
{txt}{space 13}420  {c |}{col 19}{res}{space 2}  .052291{col 31}{space 2} .0998035{col 42}{space 1}    0.52{col 51}{space 3}0.600{col 59}{space 4}-.1433203{col 72}{space 3} .2479022
{txt}{space 13}430  {c |}{col 19}{res}{space 2}  .104151{col 31}{space 2} .0923402{col 42}{space 1}    1.13{col 51}{space 3}0.259{col 59}{space 4}-.0768325{col 72}{space 3} .2851345
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1549315{col 31}{space 2} .1014821{col 42}{space 1}    1.53{col 51}{space 3}0.127{col 59}{space 4}-.0439697{col 72}{space 3} .3538327
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1829347{col 31}{space 2} .0799481{col 42}{space 1}   -2.29{col 51}{space 3}0.022{col 59}{space 4}  -.33963{col 72}{space 3}-.0262394
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5543296{col 31}{space 2} .1220911{col 42}{space 1}    4.54{col 51}{space 3}0.000{col 59}{space 4} .3150355{col 72}{space 3} .7936237
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .6632882{col 31}{space 2} .1193351{col 42}{space 1}    5.56{col 51}{space 3}0.000{col 59}{space 4} .4293956{col 72}{space 3} .8971807
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .4053108{col 31}{space 2} .1498505{col 42}{space 1}    2.70{col 51}{space 3}0.007{col 59}{space 4} .1116091{col 72}{space 3} .6990125
{txt}{space 15}5  {c |}{col 19}{res}{space 2}  .712129{col 31}{space 2} .1016683{col 42}{space 1}    7.00{col 51}{space 3}0.000{col 59}{space 4} .5128629{col 72}{space 3} .9113951
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .5678047{col 31}{space 2} .1005935{col 42}{space 1}    5.64{col 51}{space 3}0.000{col 59}{space 4} .3706451{col 72}{space 3} .7649643
{txt}{space 15}7  {c |}{col 19}{res}{space 2} .2714625{col 31}{space 2} .1038211{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0679768{col 72}{space 3} .4749482
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .3414165{col 31}{space 2} .1013015{col 42}{space 1}    3.37{col 51}{space 3}0.001{col 59}{space 4} .1428691{col 72}{space 3} .5399639
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3021827{col 31}{space 2} .1032336{col 42}{space 1}    2.93{col 51}{space 3}0.003{col 59}{space 4} .0998486{col 72}{space 3} .5045167
{txt}{space 14}10  {c |}{col 19}{res}{space 2}-.0475892{col 31}{space 2} .1205964{col 42}{space 1}   -0.39{col 51}{space 3}0.693{col 59}{space 4}-.2839538{col 72}{space 3} .1887753
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .1414701{col 31}{space 2} .1204782{col 42}{space 1}    1.17{col 51}{space 3}0.240{col 59}{space 4}-.0946629{col 72}{space 3} .3776031
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.012377{col 31}{space 2} .1493321{col 42}{space 1}  -13.48{col 51}{space 3}0.000{col 59}{space 4}-2.305062{col 72}{space 3}-1.719691
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .6180041{col 31}{space 2} .0738108{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} .4733377{col 72}{space 3} .7626706
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .2450672{col 31}{space 2} .1246088{col 42}{space 1}    1.97{col 51}{space 3}0.049{col 59}{space 4} .0008384{col 72}{space 3}  .489296
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.4073545{col 31}{space 2}  .159614{col 42}{space 1}   -2.55{col 51}{space 3}0.011{col 59}{space 4}-.7201921{col 72}{space 3}-.0945169
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-27.32213{col 31}{space 2}  .056936{col 42}{space 1} -479.87{col 51}{space 3}0.000{col 59}{space 4}-27.43372{col 72}{space 3}-27.21054
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Table A12
. zip match i.prepost_poll##c.poll_diff##c.meanIOscore_all poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2319.2505}  
Iteration 2:{space 3}log pseudolikelihood = {res: -2264.183}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2263.4059}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2263.4048}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2263.4048}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}   2029.67
{txt}Log pseudolikelihood = {res}-2263.405                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .1327683{col 31}{space 2} .0683306{col 42}{space 1}    1.94{col 51}{space 3}0.052{col 59}{space 4}-.0011572{col 72}{space 3} .2666938
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.0953175{col 31}{space 2}  .075419{col 42}{space 1}   -1.26{col 51}{space 3}0.206{col 59}{space 4}-.2431361{col 72}{space 3}  .052501
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} -.080744{col 31}{space 2} .0849714{col 42}{space 1}   -0.95{col 51}{space 3}0.342{col 59}{space 4}-.2472849{col 72}{space 3}  .085797
{txt}{space 17} {c |}
{space 2}meanIOscore_all {c |}{col 19}{res}{space 2} .0250794{col 31}{space 2} .0089146{col 42}{space 1}    2.81{col 51}{space 3}0.005{col 59}{space 4} .0076071{col 72}{space 3} .0425518
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
c.meanIOscore_all {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0218168{col 31}{space 2} .0116684{col 42}{space 1}   -1.87{col 51}{space 3}0.062{col 59}{space 4}-.0446864{col 72}{space 3} .0010529
{txt}{space 17} {c |}
{space 6}c.poll_diff#{c |}
c.meanIOscore_all {c |}{col 19}{res}{space 2} .0216242{col 31}{space 2} .0117795{col 42}{space 1}    1.84{col 51}{space 3}0.066{col 59}{space 4}-.0014632{col 72}{space 3} .0447116
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff#{c |}
c.meanIOscore_all {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .0052663{col 31}{space 2} .0147857{col 42}{space 1}    0.36{col 51}{space 3}0.722{col 59}{space 4}-.0237132{col 72}{space 3} .0342457
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0017981{col 31}{space 2} .0063546{col 42}{space 1}   -0.28{col 51}{space 3}0.777{col 59}{space 4}-.0142529{col 72}{space 3} .0106567
{txt}poll_diff_average {c |}{col 19}{res}{space 2} -.014802{col 31}{space 2} .0614126{col 42}{space 1}   -0.24{col 51}{space 3}0.810{col 59}{space 4}-.1351684{col 72}{space 3} .1055645
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2}   .21494{col 31}{space 2} .0055681{col 42}{space 1}   38.60{col 51}{space 3}0.000{col 59}{space 4} .2040267{col 72}{space 3} .2258533
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0135702{col 31}{space 2} .0101084{col 42}{space 1}    1.34{col 51}{space 3}0.179{col 59}{space 4} -.006242{col 72}{space 3} .0333824
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .1249925{col 31}{space 2} .0796643{col 42}{space 1}    1.57{col 51}{space 3}0.117{col 59}{space 4}-.0311467{col 72}{space 3} .2811318
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.0862297{col 31}{space 2} .0942641{col 42}{space 1}   -0.91{col 51}{space 3}0.360{col 59}{space 4} -.270984{col 72}{space 3} .0985245
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .1528789{col 31}{space 2} .0798433{col 42}{space 1}    1.91{col 51}{space 3}0.056{col 59}{space 4}-.0036111{col 72}{space 3} .3093689
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.0920566{col 31}{space 2} .0948655{col 42}{space 1}   -0.97{col 51}{space 3}0.332{col 59}{space 4}-.2779895{col 72}{space 3} .0938764
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0622982{col 31}{space 2} .0782076{col 42}{space 1}    0.80{col 51}{space 3}0.426{col 59}{space 4}-.0909859{col 72}{space 3} .2155822
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .1088249{col 31}{space 2} .0867729{col 42}{space 1}    1.25{col 51}{space 3}0.210{col 59}{space 4}-.0612469{col 72}{space 3} .2788967
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1333167{col 31}{space 2} .0948165{col 42}{space 1}    1.41{col 51}{space 3}0.160{col 59}{space 4}-.0525202{col 72}{space 3} .3191536
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.0994157{col 31}{space 2} .0786225{col 42}{space 1}   -1.26{col 51}{space 3}0.206{col 59}{space 4}-.2535129{col 72}{space 3} .0546815
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5634732{col 31}{space 2} .0861178{col 42}{space 1}    6.54{col 51}{space 3}0.000{col 59}{space 4} .3946855{col 72}{space 3} .7322609
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7747787{col 31}{space 2}  .084645{col 42}{space 1}    9.15{col 51}{space 3}0.000{col 59}{space 4} .6088775{col 72}{space 3} .9406798
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .7664874{col 31}{space 2} .1033761{col 42}{space 1}    7.41{col 51}{space 3}0.000{col 59}{space 4} .5638739{col 72}{space 3} .9691009
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7549103{col 31}{space 2} .0763396{col 42}{space 1}    9.89{col 51}{space 3}0.000{col 59}{space 4} .6052874{col 72}{space 3} .9045332
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .7280623{col 31}{space 2} .0755457{col 42}{space 1}    9.64{col 51}{space 3}0.000{col 59}{space 4} .5799954{col 72}{space 3} .8761291
{txt}{space 15}7  {c |}{col 19}{res}{space 2}   .32594{col 31}{space 2} .0856782{col 42}{space 1}    3.80{col 51}{space 3}0.000{col 59}{space 4} .1580138{col 72}{space 3} .4938661
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .5332208{col 31}{space 2} .0854558{col 42}{space 1}    6.24{col 51}{space 3}0.000{col 59}{space 4} .3657306{col 72}{space 3}  .700711
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .4757311{col 31}{space 2} .0833803{col 42}{space 1}    5.71{col 51}{space 3}0.000{col 59}{space 4} .3123088{col 72}{space 3} .6391534
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .2217988{col 31}{space 2} .0946749{col 42}{space 1}    2.34{col 51}{space 3}0.019{col 59}{space 4} .0362395{col 72}{space 3} .4073581
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .3421525{col 31}{space 2} .0948734{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} .1562041{col 72}{space 3} .5281009
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.281036{col 31}{space 2} .1270635{col 42}{space 1}  -17.95{col 51}{space 3}0.000{col 59}{space 4}-2.530076{col 72}{space 3}-2.031996
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .4485579{col 31}{space 2} .0614827{col 42}{space 1}    7.30{col 51}{space 3}0.000{col 59}{space 4}  .328054{col 72}{space 3} .5690617
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.2194725{col 31}{space 2} .0662226{col 42}{space 1}   -3.31{col 51}{space 3}0.001{col 59}{space 4}-.3492664{col 72}{space 3}-.0896786
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}   .13771{col 31}{space 2} .0790426{col 42}{space 1}    1.74{col 51}{space 3}0.081{col 59}{space 4}-.0172106{col 72}{space 3} .2926306
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-26.32762{col 31}{space 2} .0479977{col 42}{space 1} -548.52{col 51}{space 3}0.000{col 59}{space 4}-26.42169{col 72}{space 3}-26.23355
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. recode meanIOscore_all (0/5=0)(5.001/14.8=1) // We recode the issue emphasis variable to a dichotomous variable based on the median value
{txt}(meanIOscore_all: 3223 changes made)

{com}. zip match i.prepost_poll##c.poll_diff##c.meanIOscore_all poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3636.1639}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2819.5655}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2718.9794}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2709.3848}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2707.3377}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2706.9217}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2706.8254}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2706.8019}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2706.7973}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2706.7965}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2706.7963}  
Iteration 12:{space 2}log pseudolikelihood = {res:-2706.7963}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2706.7963}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2319.9414}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2265.2539}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2264.4787}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2264.4776}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2264.4776}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,872
                                                {txt}Zero obs          = {res}     1,486

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}29{txt})     = {res}   2007.01
{txt}Log pseudolikelihood = {res}-2264.478                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .0409991{col 31}{space 2} .0485198{col 42}{space 1}    0.84{col 51}{space 3}0.398{col 59}{space 4}-.0540979{col 72}{space 3} .1360962
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.0059068{col 31}{space 2} .0505709{col 42}{space 1}   -0.12{col 51}{space 3}0.907{col 59}{space 4} -.105024{col 72}{space 3} .0932104
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.1208919{col 31}{space 2} .0543322{col 42}{space 1}   -2.23{col 51}{space 3}0.026{col 59}{space 4}-.2273811{col 72}{space 3}-.0144027
{txt}{space 17} {c |}
{space 2}meanIOscore_all {c |}{col 19}{res}{space 2} .1235789{col 31}{space 2} .0578747{col 42}{space 1}    2.14{col 51}{space 3}0.033{col 59}{space 4} .0101466{col 72}{space 3} .2370112
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
c.meanIOscore_all {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0788002{col 31}{space 2} .0747388{col 42}{space 1}   -1.05{col 51}{space 3}0.292{col 59}{space 4}-.2252855{col 72}{space 3} .0676852
{txt}{space 17} {c |}
{space 6}c.poll_diff#{c |}
c.meanIOscore_all {c |}{col 19}{res}{space 2} .0935494{col 31}{space 2} .0711748{col 42}{space 1}    1.31{col 51}{space 3}0.189{col 59}{space 4}-.0459506{col 72}{space 3} .2330493
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff#{c |}
c.meanIOscore_all {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1186914{col 31}{space 2} .0895375{col 42}{space 1}    1.33{col 51}{space 3}0.185{col 59}{space 4}-.0567989{col 72}{space 3} .2941816
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0032676{col 31}{space 2} .0064067{col 42}{space 1}   -0.51{col 51}{space 3}0.610{col 59}{space 4}-.0158246{col 72}{space 3} .0092894
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0448497{col 31}{space 2} .0611022{col 42}{space 1}   -0.73{col 51}{space 3}0.463{col 59}{space 4}-.1646079{col 72}{space 3} .0749085
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2155937{col 31}{space 2} .0055927{col 42}{space 1}   38.55{col 51}{space 3}0.000{col 59}{space 4} .2046322{col 72}{space 3} .2265553
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0180691{col 31}{space 2} .0103308{col 42}{space 1}    1.75{col 51}{space 3}0.080{col 59}{space 4}-.0021789{col 72}{space 3} .0383171
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .1182304{col 31}{space 2} .0788319{col 42}{space 1}    1.50{col 51}{space 3}0.134{col 59}{space 4}-.0362774{col 72}{space 3} .2727381
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.1021495{col 31}{space 2} .0910908{col 42}{space 1}   -1.12{col 51}{space 3}0.262{col 59}{space 4}-.2806841{col 72}{space 3} .0763851
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .1470692{col 31}{space 2} .0783396{col 42}{space 1}    1.88{col 51}{space 3}0.060{col 59}{space 4}-.0064736{col 72}{space 3} .3006119
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1110931{col 31}{space 2} .0964439{col 42}{space 1}   -1.15{col 51}{space 3}0.249{col 59}{space 4}-.3001196{col 72}{space 3} .0779334
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0792148{col 31}{space 2} .0772933{col 42}{space 1}    1.02{col 51}{space 3}0.305{col 59}{space 4}-.0722773{col 72}{space 3} .2307069
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .1122808{col 31}{space 2}  .084821{col 42}{space 1}    1.32{col 51}{space 3}0.186{col 59}{space 4}-.0539653{col 72}{space 3} .2785269
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1190998{col 31}{space 2} .0941234{col 42}{space 1}    1.27{col 51}{space 3}0.206{col 59}{space 4}-.0653787{col 72}{space 3} .3035783
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1254881{col 31}{space 2} .0758595{col 42}{space 1}   -1.65{col 51}{space 3}0.098{col 59}{space 4}  -.27417{col 72}{space 3} .0231938
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .5444448{col 31}{space 2} .0851918{col 42}{space 1}    6.39{col 51}{space 3}0.000{col 59}{space 4} .3774719{col 72}{space 3} .7114176
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .7750479{col 31}{space 2} .0845908{col 42}{space 1}    9.16{col 51}{space 3}0.000{col 59}{space 4} .6092531{col 72}{space 3} .9408428
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .7666234{col 31}{space 2} .0994421{col 42}{space 1}    7.71{col 51}{space 3}0.000{col 59}{space 4} .5717204{col 72}{space 3} .9615264
{txt}{space 15}5  {c |}{col 19}{res}{space 2}  .753332{col 31}{space 2} .0761567{col 42}{space 1}    9.89{col 51}{space 3}0.000{col 59}{space 4} .6040677{col 72}{space 3} .9025963
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .7130256{col 31}{space 2} .0767903{col 42}{space 1}    9.29{col 51}{space 3}0.000{col 59}{space 4} .5625194{col 72}{space 3} .8635318
{txt}{space 15}7  {c |}{col 19}{res}{space 2}  .325357{col 31}{space 2} .0876761{col 42}{space 1}    3.71{col 51}{space 3}0.000{col 59}{space 4}  .153515{col 72}{space 3} .4971991
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .5034884{col 31}{space 2} .0861684{col 42}{space 1}    5.84{col 51}{space 3}0.000{col 59}{space 4} .3346014{col 72}{space 3} .6723754
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .4526402{col 31}{space 2}  .084481{col 42}{space 1}    5.36{col 51}{space 3}0.000{col 59}{space 4} .2870605{col 72}{space 3} .6182198
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .1801155{col 31}{space 2} .0972424{col 42}{space 1}    1.85{col 51}{space 3}0.064{col 59}{space 4}-.0104761{col 72}{space 3} .3707072
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .2983525{col 31}{space 2} .0978879{col 42}{space 1}    3.05{col 51}{space 3}0.002{col 59}{space 4} .1064958{col 72}{space 3} .4902092
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.208951{col 31}{space 2} .1145121{col 42}{space 1}  -19.29{col 51}{space 3}0.000{col 59}{space 4}-2.433391{col 72}{space 3}-1.984512
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .4561428{col 31}{space 2}   .06149{col 42}{space 1}    7.42{col 51}{space 3}0.000{col 59}{space 4} .3356245{col 72}{space 3} .5766611
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} -.221018{col 31}{space 2} .0652888{col 42}{space 1}   -3.39{col 51}{space 3}0.001{col 59}{space 4}-.3489817{col 72}{space 3}-.0930542
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .1418077{col 31}{space 2} .0783475{col 42}{space 1}    1.81{col 51}{space 3}0.070{col 59}{space 4}-.0117507{col 72}{space 3} .2953661
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-26.33128{col 31}{space 2} .0479223{col 42}{space 1} -549.46{col 51}{space 3}0.000{col 59}{space 4}-26.42521{col 72}{space 3}-26.23736
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. ***********************
. * Figure A2, Table A7 *
. use "dataset 1.dta", clear
{txt}
{com}. replace counter = counter+5 // We change the time variable to only have positive values in order to conduct the analysis
{txt}(15,184 real changes made)

{com}. zip match i.DID_treatment##ib5.counter i.party i.week_poll, vce(robust) infl(DID_treatment)

{txt}Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-14575.531}  
Iteration 1:{space 3}log pseudolikelihood = {res:-13473.177}  
Iteration 2:{space 3}log pseudolikelihood = {res:-13324.792}  
Iteration 3:{space 3}log pseudolikelihood = {res:-13309.642}  
Iteration 4:{space 3}log pseudolikelihood = {res:-13308.343}  
Iteration 5:{space 3}log pseudolikelihood = {res: -13308.32}  
Iteration 6:{space 3}log pseudolikelihood = {res: -13308.32}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -13308.32}  
Iteration 1:{space 3}log pseudolikelihood = {res:-12909.685}  
Iteration 2:{space 3}log pseudolikelihood = {res: -12866.02}  
Iteration 3:{space 3}log pseudolikelihood = {res:-12865.526}  
Iteration 4:{space 3}log pseudolikelihood = {res:-12865.281}  
Iteration 5:{space 3}log pseudolikelihood = {res:-12865.249}  
Iteration 6:{space 3}log pseudolikelihood = {res: -12865.24}  
Iteration 7:{space 3}log pseudolikelihood = {res:-12865.238}  
Iteration 8:{space 3}log pseudolikelihood = {res:-12865.238}  
Iteration 9:{space 3}log pseudolikelihood = {res:-12865.238}  
Iteration 10:{space 2}log pseudolikelihood = {res:-12865.238}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}    15,184
                                                {txt}Nonzero obs       = {res}     5,330
                                                {txt}Zero obs          = {res}     9,854

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}36{txt})     = {res}    867.64
{txt}Log pseudolikelihood = {res}-12865.24                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 23}{c |}{col 35}    Robust
{col 1}                match{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match                 {txt}{c |}
{space 6}1.DID_treatment {c |}{col 23}{res}{space 2}-.0320039{col 35}{space 2}  .067365{col 46}{space 1}   -0.48{col 55}{space 3}0.635{col 63}{space 4} -.164037{col 76}{space 3} .1000291
{txt}{space 21} {c |}
{space 14}counter {c |}
{space 19}1  {c |}{col 23}{res}{space 2}-.1879537{col 35}{space 2} .0736043{col 46}{space 1}   -2.55{col 55}{space 3}0.011{col 63}{space 4}-.3322154{col 76}{space 3}-.0436919
{txt}{space 19}2  {c |}{col 23}{res}{space 2}-.0284265{col 35}{space 2} .0704761{col 46}{space 1}   -0.40{col 55}{space 3}0.687{col 63}{space 4} -.166557{col 76}{space 3} .1097041
{txt}{space 19}3  {c |}{col 23}{res}{space 2}-.1035667{col 35}{space 2} .0694688{col 46}{space 1}   -1.49{col 55}{space 3}0.136{col 63}{space 4} -.239723{col 76}{space 3} .0325895
{txt}{space 19}4  {c |}{col 23}{res}{space 2}-.0920725{col 35}{space 2} .0700707{col 46}{space 1}   -1.31{col 55}{space 3}0.189{col 63}{space 4}-.2294086{col 76}{space 3} .0452637
{txt}{space 19}6  {c |}{col 23}{res}{space 2}-.1466025{col 35}{space 2} .0692228{col 46}{space 1}   -2.12{col 55}{space 3}0.034{col 63}{space 4}-.2822766{col 76}{space 3}-.0109283
{txt}{space 19}7  {c |}{col 23}{res}{space 2}-.1257686{col 35}{space 2} .0672429{col 46}{space 1}   -1.87{col 55}{space 3}0.061{col 63}{space 4}-.2575623{col 76}{space 3} .0060251
{txt}{space 19}8  {c |}{col 23}{res}{space 2}-.0417695{col 35}{space 2} .0646175{col 46}{space 1}   -0.65{col 55}{space 3}0.518{col 63}{space 4}-.1684175{col 76}{space 3} .0848785
{txt}{space 19}9  {c |}{col 23}{res}{space 2}-.0206651{col 35}{space 2} .0669599{col 46}{space 1}   -0.31{col 55}{space 3}0.758{col 63}{space 4}-.1519042{col 76}{space 3} .1105739
{txt}{space 21} {c |}
DID_treatment#counter {c |}
{space 17}1 1  {c |}{col 23}{res}{space 2} .0370622{col 35}{space 2}  .102978{col 46}{space 1}    0.36{col 55}{space 3}0.719{col 63}{space 4} -.164771{col 76}{space 3} .2388955
{txt}{space 17}1 2  {c |}{col 23}{res}{space 2}-.0263206{col 35}{space 2}  .101196{col 46}{space 1}   -0.26{col 55}{space 3}0.795{col 63}{space 4}-.2246612{col 76}{space 3}   .17202
{txt}{space 17}1 3  {c |}{col 23}{res}{space 2}-.0720932{col 35}{space 2} .1011498{col 46}{space 1}   -0.71{col 55}{space 3}0.476{col 63}{space 4}-.2703431{col 76}{space 3} .1261568
{txt}{space 17}1 4  {c |}{col 23}{res}{space 2} .0345434{col 35}{space 2}  .099631{col 46}{space 1}    0.35{col 55}{space 3}0.729{col 63}{space 4}-.1607298{col 76}{space 3} .2298165
{txt}{space 17}1 6  {c |}{col 23}{res}{space 2} .2982689{col 35}{space 2} .0960747{col 46}{space 1}    3.10{col 55}{space 3}0.002{col 63}{space 4}  .109966{col 76}{space 3} .4865718
{txt}{space 17}1 7  {c |}{col 23}{res}{space 2}-.0038707{col 35}{space 2} .0974309{col 46}{space 1}   -0.04{col 55}{space 3}0.968{col 63}{space 4}-.1948318{col 76}{space 3} .1870904
{txt}{space 17}1 8  {c |}{col 23}{res}{space 2}-.0627637{col 35}{space 2}  .096051{col 46}{space 1}   -0.65{col 55}{space 3}0.513{col 63}{space 4}-.2510202{col 76}{space 3} .1254928
{txt}{space 17}1 9  {c |}{col 23}{res}{space 2}-.0647679{col 35}{space 2} .0981246{col 46}{space 1}   -0.66{col 55}{space 3}0.509{col 63}{space 4}-.2570887{col 76}{space 3} .1275529
{txt}{space 21} {c |}
{space 16}party {c |}
{space 19}Ø  {c |}{col 23}{res}{space 2}-.3335957{col 35}{space 2} .0539338{col 46}{space 1}   -6.19{col 55}{space 3}0.000{col 63}{space 4}-.4393041{col 76}{space 3}-.2278873
{txt}{space 18}SF  {c |}{col 23}{res}{space 2}  .028904{col 35}{space 2}  .058181{col 46}{space 1}    0.50{col 55}{space 3}0.619{col 63}{space 4}-.0851287{col 76}{space 3} .1429367
{txt}{space 18}SD  {c |}{col 23}{res}{space 2}-.4702702{col 35}{space 2} .0463895{col 46}{space 1}  -10.14{col 55}{space 3}0.000{col 63}{space 4}-.5611919{col 76}{space 3}-.3793484
{txt}{space 18}RV  {c |}{col 23}{res}{space 2}-.0952974{col 35}{space 2} .0569332{col 46}{space 1}   -1.67{col 55}{space 3}0.094{col 63}{space 4}-.2068844{col 76}{space 3} .0162897
{txt}{space 19}V  {c |}{col 23}{res}{space 2}-.5517249{col 35}{space 2}  .049401{col 46}{space 1}  -11.17{col 55}{space 3}0.000{col 63}{space 4}-.6485491{col 76}{space 3}-.4549006
{txt}{space 18}LA  {c |}{col 23}{res}{space 2}-.3767439{col 35}{space 2} .0569741{col 46}{space 1}   -6.61{col 55}{space 3}0.000{col 63}{space 4}-.4884111{col 76}{space 3}-.2650766
{txt}{space 19}C  {c |}{col 23}{res}{space 2}-.0794582{col 35}{space 2} .0660106{col 46}{space 1}   -1.20{col 55}{space 3}0.229{col 63}{space 4}-.2088367{col 76}{space 3} .0499202
{txt}{space 18}DF  {c |}{col 23}{res}{space 2}-.4868966{col 35}{space 2} .0517686{col 46}{space 1}   -9.41{col 55}{space 3}0.000{col 63}{space 4}-.5883613{col 76}{space 3} -.385432
{txt}{space 21} {c |}
{space 12}week_poll {c |}
{space 19}5  {c |}{col 23}{res}{space 2} .1054846{col 35}{space 2} .0604917{col 46}{space 1}    1.74{col 55}{space 3}0.081{col 63}{space 4}-.0130769{col 76}{space 3}  .224046
{txt}{space 19}9  {c |}{col 23}{res}{space 2} .1370422{col 35}{space 2} .0608855{col 46}{space 1}    2.25{col 55}{space 3}0.024{col 63}{space 4} .0177087{col 76}{space 3} .2563757
{txt}{space 18}13  {c |}{col 23}{res}{space 2}-.2588977{col 35}{space 2} .0647691{col 46}{space 1}   -4.00{col 55}{space 3}0.000{col 63}{space 4}-.3858427{col 76}{space 3}-.1319526
{txt}{space 18}18  {c |}{col 23}{res}{space 2}-.1753321{col 35}{space 2} .0661617{col 46}{space 1}   -2.65{col 55}{space 3}0.008{col 63}{space 4}-.3050067{col 76}{space 3}-.0456575
{txt}{space 18}22  {c |}{col 23}{res}{space 2}-.0747555{col 35}{space 2} .0621029{col 46}{space 1}   -1.20{col 55}{space 3}0.229{col 63}{space 4}-.1964748{col 76}{space 3} .0469639
{txt}{space 18}31  {c |}{col 23}{res}{space 2}-.3713789{col 35}{space 2} .0692734{col 46}{space 1}   -5.36{col 55}{space 3}0.000{col 63}{space 4}-.5071522{col 76}{space 3}-.2356055
{txt}{space 18}35  {c |}{col 23}{res}{space 2}-.0526946{col 35}{space 2} .0621945{col 46}{space 1}   -0.85{col 55}{space 3}0.397{col 63}{space 4}-.1745936{col 76}{space 3} .0692043
{txt}{space 18}40  {c |}{col 23}{res}{space 2}-.6794058{col 35}{space 2} .0784401{col 46}{space 1}   -8.66{col 55}{space 3}0.000{col 63}{space 4}-.8331456{col 76}{space 3} -.525666
{txt}{space 18}44  {c |}{col 23}{res}{space 2} .1454546{col 35}{space 2} .0602643{col 46}{space 1}    2.41{col 55}{space 3}0.016{col 63}{space 4} .0273388{col 76}{space 3} .2635705
{txt}{space 18}48  {c |}{col 23}{res}{space 2} .2063031{col 35}{space 2} .0595964{col 46}{space 1}    3.46{col 55}{space 3}0.001{col 63}{space 4} .0894962{col 76}{space 3} .3231099
{txt}{space 18}99  {c |}{col 23}{res}{space 2}-.8916756{col 35}{space 2} .0816921{col 46}{space 1}  -10.92{col 55}{space 3}0.000{col 63}{space 4}-1.051789{col 76}{space 3}-.7315621
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-.2433554{col 35}{space 2} .0723568{col 46}{space 1}   -3.36{col 55}{space 3}0.001{col 63}{space 4} -.385172{col 76}{space 3}-.1015388
{txt}{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate               {txt}{c |}
{space 8}DID_treatment {c |}{col 23}{res}{space 2}-.1910615{col 35}{space 2} 1.767581{col 46}{space 1}   -0.11{col 55}{space 3}0.914{col 63}{space 4}-3.655457{col 76}{space 3} 3.273334
{txt}{space 16}_cons {c |}{col 23}{res}{space 2}-15.82842{col 35}{space 2} 1.106831{col 46}{space 1}  -14.30{col 55}{space 3}0.000{col 63}{space 4}-17.99776{col 76}{space 3}-13.65907
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. coefplot, keep(*#*) vertical yline(0) xline(4.5) xtitle(Timeline) msymbol(square) mcolor(black) msize(med) ///
>         coeflabel(1.DID_treatment#1.counter = "t-4" ///
>                           1.DID_treatment#2.counter = "t-3" ///
>                           1.DID_treatment#3.counter = "t-2" ///
>                           1.DID_treatment#4.counter = "t-1" ///
>                           1.DID_treatment#6.counter = "t+1" ///
>                           1.DID_treatment#7.counter = "t+2" ///
>                           1.DID_treatment#8.counter = "t+3" ///
>                           1.DID_treatment#9.counter = "t+4")
{res}{p 0 4 2}
{txt}(note:  named style
med not found in class
symbolsize,  default attributes used)
{p_end}
{res}{txt}
{com}.         
. *****************
. * Figure A1 (A) *
. use "dataset 1.dta", clear
{txt}
{com}. drop if counter > 2 // We limit the analysis to the two periods before and after the cut-off point.
{txt}(3,504 observations deleted)

{com}. drop if counter < -2
{txt}(3,212 observations deleted)

{com}. collapse match, by(DID_treatment counter)
{txt}
{com}. twoway (line match counter if DID_treatment==1, lcolor(black) lwidth(thick) lpattern(solid)) ///
>            (line match counter if DID_treatment==0, lcolor(black) lwidth(thick) lpattern (dash)), ///
>            xline(0, lwidth(thin) lpattern(solid) lcolor(black)) ///
>            ytitle(Match, size(large) color(black)) xtitle(Timeline, size(large) color(black)) legend(off) ///
>            xlabel(, labels labsize(medlarge) labcolor(black)) ylabel(.4(.05).6, labels labsize(medlarge) labcolor(black)) 
{res}{txt}
{com}.  
. *****************
. * Figure A1 (B) *
. use "dataset 1.dta", clear
{txt}
{com}. replace counter = counter + 2 // For the placebo test, we create an artificial cut-off point at t+2.
{txt}(15,184 real changes made)

{com}. drop if counter > 2 // We limit the analysis to the two periods before and after the cut-off point.
{txt}(7,008 observations deleted)

{com}. drop if counter < -2
{txt}(0 observations deleted)

{com}. collapse match, by(DID_treatment counter) // We transform the data to only analyze the average values two periods before and after the cutt-off point.
{txt}
{com}. twoway (line match counter if DID_treatment==1, lcolor(black) lwidth(thick) lpattern(solid)) ///
>            (line match counter if DID_treatment==0, lcolor(black) lwidth(thick) lpattern (dash)), ///
>            xline(0, lwidth(thin) lpattern(solid) lcolor(black)) ///
>            ytitle(Match, size(large) color(black)) xtitle(Timeline, size(large) color(black)) legend(off) ///
>            xlabel(, labels labsize(medlarge) labcolor(black)) ylabel(.4(.05).6, labels labsize(medlarge) labcolor(black)) 
{res}{txt}
{com}. 
. *****************
. * Figure A1 (C) *
. use "dataset 1.dta", clear
{txt}
{com}. replace counter = counter - 2 // For the placebo test, we create an artificial cut-off point at t-2.
{txt}(15,184 real changes made)

{com}. drop if counter > 2 // We limit the analysis to the two periods before and after the cut-off point.
{txt}(0 observations deleted)

{com}. drop if counter < -2
{txt}(6,424 observations deleted)

{com}. collapse match, by(DID_treatment counter)
{txt}
{com}. twoway (line match counter if DID_treatment==1, lcolor(black) lwidth(thick) lpattern(solid)) ///
>            (line match counter if DID_treatment==0, lcolor(black) lwidth(thick) lpattern (dash)), ///
>            xline(0, lwidth(thin) lpattern(solid) lcolor(black)) ///
>            ytitle(Match, size(large) color(black)) xtitle(Timeline, size(large) color(black)) legend(off) ///
>            xlabel(, labels labsize(medlarge) labcolor(black)) ylabel(.4(.05).6, labels labsize(medlarge) labcolor(black)) 
{res}{txt}
{com}. 
.            
. **********************************
. * Figures A3, A4. Tables A9, A10 * 
. use "dataset 1.dta", clear
{txt}
{com}. keep if counter_numerical < 3  // We transform the data to only analyze the average values two periods before and after the cutt-off point.
{txt}(6,716 observations deleted)

{com}. collapse prognose* match poll_diff issue_posts party poll_neg_accum poll_diff_average poll_number poll_category_large2 issue_ownership* marginality_10 marginality_pers Gender first Birthyear meanIOscore_all, by(ID_Pol week_poll prepost_poll)
{txt}
{com}. g panel = ID_P*100+week_poll // We set up the panel structure of the data that we need to include fixed effects to the analysis.
{txt}
{com}. xtset panel prepost_poll
{res}{txt}{col 8}panel variable:  {res}panel (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}prepost_poll, 0 to 1
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. tab party, g(d_party) // generate dummies for each party

     {txt}(mean) {c |}
      party {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        110 {c |}{res}        230        6.85        6.85
{txt}        210 {c |}{res}        299        8.90       15.75
{txt}        220 {c |}{res}        138        4.11       19.86
{txt}        320 {c |}{res}        874       26.03       45.89
{txt}        410 {c |}{res}        184        5.48       51.37
{txt}        420 {c |}{res}        690       20.55       71.92
{txt}        430 {c |}{res}        276        8.22       80.14
{txt}        620 {c |}{res}        138        4.11       84.25
{txt}        700 {c |}{res}        529       15.75      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,358      100.00
{txt}
{com}. tab week_poll, g(d_week_poll) // generate dummies for each poll

  {txt}week_poll {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        146        4.35        4.35
{txt}          5 {c |}{res}        292        8.70       13.04
{txt}          9 {c |}{res}        292        8.70       21.74
{txt}         13 {c |}{res}        292        8.70       30.43
{txt}         18 {c |}{res}        292        8.70       39.13
{txt}         22 {c |}{res}        292        8.70       47.83
{txt}         31 {c |}{res}        292        8.70       56.52
{txt}         35 {c |}{res}        292        8.70       65.22
{txt}         40 {c |}{res}        292        8.70       73.91
{txt}         44 {c |}{res}        292        8.70       82.61
{txt}         48 {c |}{res}        292        8.70       91.30
{txt}         99 {c |}{res}        292        8.70      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      3,358      100.00
{txt}
{com}. 
. * Figure A3
. *ssc install rddensity // We install the Stata package "rddensity & rdrobust" to conduct these analyses. 
. *ssc install rdrobust // lpdensity rdplot 
. 
. rdplot match poll_diff if match < 0.8, c(0) all masspoints(off) p(1) bwselect(mserd) kernel(uni) covs(d_party* d_week_poll* issue_posts) 
{err}{err}Multicollinearity issue detected in {cmd:covs}. Redundant covariates were removed.
{res}
RD Plot with evenly spaced mimicking variance number of bins using spacings estimators.

{txt}{ralign 21: Cutoff c = 0}{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c{col 54}{txt}Number of obs  = {res}      2585
{txt}{hline 22}{c +}{hline 22}{col 54}Kernel         = {res}{ralign 10:Uniform}
{txt}{ralign 21:Number of obs}{col 22} {c |} {col 23}{res}     1240{col 37}     1345
{txt}{ralign 21:Eff. Number of obs}{col 22} {c |} {col 23}{res}     1240{col 37}     1345
{txt}{ralign 21:Order poly. fit (p)}{col 22} {c |} {col 23}{res}        1{col 37}        1
{txt}{ralign 21:BW poly. fit (h)}{col 22} {c |} {col 23}{res}    1.700{col 37}    1.700
{txt}{ralign 21:Number of bins scale}{col 22} {c |} {col 23}{res}    1.000{col 37}    1.000

Outcome: match. Running variable: poll_diff.
{txt}{hline 22}{c TT}{hline 22}
{col 22} {c |} {col 23}Left of {res}c{col 36}{txt}Right of {res}c
{txt}{hline 22}{c +}{hline 22}
{ralign 21:Bins selected}{col 22} {c |} {col 23}{res}       31{col 37}       28
{txt}{ralign 21:Average bin length}{col 22} {c |} {col 23}{res}    0.055{col 37}    0.061
{txt}{ralign 21:Median bin length}{col 22} {c |} {col 23}{res}    0.055{col 37}    0.061
{txt}{hline 22}{c +}{hline 22}
{ralign 21:IMSE-optimal bins}{col 22} {c |} {col 23}{res}        7{col 37}        6
{txt}{ralign 21:Mimicking Var. bins}{col 22} {c |} {col 23}{res}       31{col 37}       28
{txt}{hline 22}{c +}{hline 22}
{lalign 1:Rel. to IMSE-optimal:}{col 22} {c |} 
{ralign 21:Implied scale}{col 22} {c |} {col 23}{res}    4.429{col 37}    4.667
{txt}{ralign 21:WIMSE var. weight}{col 22} {c |} {col 23}{res}    0.011{col 37}    0.010
{txt}{ralign 21:WIMSE bias weight}{col 22} {c |} {col 23}{res}    0.989{col 37}    0.990
{txt}{hline 22}{c BT}{hline 22}

Covariate-adjusted estimates. Additional covariates included: 20
{res}{txt}
{com}. 
. * Figure A4
. rddensity poll_diff, fitselect(restricted) hist_n(7 7) p(3) h(4 4) all plot 
{res}
Bandwidth {it:hl} greater than the range of the data.

Bandwidth {it:hr} greater than the range of the data.

Point estimates and standard errors have been adjusted for repeated observations.
(Use option {it:nomasspoints} to suppress this adjustment.)

RD Manipulation test using local polynomial density estimation.

{txt}{ralign 9: c = }{res}    0.000{col 19} {c |}{col 22}{txt}Left of c{col 33}Right of c{col 53}Number of obs = {res}        3358
{txt}{hline 19}{c +}{hline 22}{col 53}Model         = {res}{ralign 12:restricted}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1622{col 34}     1736{col 53}{txt}BW method     = {res}{ralign 12:manual}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1622{col 34}     1736{col 53}{txt}Kernel        = {res}{ralign 12:triangular}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        3{col 34}        3{col 53}{txt}VCE method    = {res}{ralign 12:jackknife}
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        4{col 34}        4
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    4.000{col 34}    4.000

Running variable: poll_diff.
{txt}{hline 19}{c TT}{hline 22}
{ralign 18:Method}{col 19} {c |} {col 23}    T{col 38}P>|T|
{hline 19}{c +}{hline 22}
{ralign 18:Conventional}{col 19} {c |} {col 21}{res}   0.9851{col 34}   0.3246
{txt}{ralign 18:Robust}{col 19} {c |} {col 21}{res}  -2.9029{col 34}   0.0037
{txt}{hline 19}{c BT}{hline 22}

{res}P-values of binomial tests.{txt} (H0: prob = .5)
{hline 19}{c TT}{hline 22}{c TT}{hline 10}
{ralign 18: Window Length / 2}{col 20}{c |}{ralign 9: <c}{col 33}{ralign 9: >=c}{col 43}{c |}{col 49}P>|T|
{hline 19}{c +}{hline 22}{c +}{hline 10}
{res}{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{col 10}    0.000{col 20}{c |}        0{col 33}      110{col 43}{c |}{col 45}   0.0000
{txt}{hline 19}{c BT}{hline 22}{c BT}{hline 10}
{res}{txt}
{com}.         
. * Table A8 
. rdrobust match poll_diff, c(0) all masspoints(off) p(1) bwselect(mserd) kernel(uni)
{res}{err}Not enough variability to compute the preliminary bandwidth. Try checking for mass points with option {cmd:masspoints(check)}.
{err}Not enough variability to compute the bias bandwidth (b). Try checking for mass points with option {cmd:masspoints(check)}. 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      3358
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1622{col 34}     1736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1006{col 34}     1085{col 55}{txt}VCE method    = {res}{ralign 10:NN}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.810{col 34}    0.810
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.700{col 34}    1.700
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.477{col 34}    0.477

Outcome: match. Running variable: poll_diff.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.09197{col 33} .04766{col 43}-1.9297{col 52}0.054{col 60}-.185382{col 73} .001441
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.10512{col 33} .04766{col 43}-2.2057{col 52}0.027{col 60}-.198532{col 73}-.011709
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.10512{col 33} .05309{col 43}-1.9802{col 52}0.048{col 60}-.209169{col 73}-.001073
{txt}{hline 19}{c BT}{hline 60}

{com}. 
. * Table A9 
. rdrobust Gender poll_diff, c(0) all masspoints(off) p(1) bwselect(mserd) kernel(uni)
{res}{err}Not enough variability to compute the preliminary bandwidth. Try checking for mass points with option {cmd:masspoints(check)}.
{err}Not enough variability to compute the bias bandwidth (b). Try checking for mass points with option {cmd:masspoints(check)}. 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      3358
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1622{col 34}     1736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1030{col 34}     1237{col 55}{txt}VCE method    = {res}{ralign 10:NN}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    0.991{col 34}    0.991
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.700{col 34}    1.700
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.583{col 34}    0.583

Outcome: Gender. Running variable: poll_diff.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.02112{col 33} .03987{col 43}-0.5298{col 52}0.596{col 60} -.09927{col 73} .057025
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} -.0101{col 33} .03987{col 43}-0.2534{col 52}0.800{col 60}-.088251{col 73} .068044
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} -.0101{col 33}  .0466{col 43}-0.2168{col 52}0.828{col 60}-.101437{col 73} .081231
{txt}{hline 19}{c BT}{hline 60}

{com}. rdrobust Birthyear poll_diff, c(0) all masspoints(off) p(1) bwselect(mserd) kernel(uni)
{res}{err}Not enough variability to compute the preliminary bandwidth. Try checking for mass points with option {cmd:masspoints(check)}.
{err}Not enough variability to compute the bias bandwidth (b). Try checking for mass points with option {cmd:masspoints(check)}. 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      3358
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1622{col 34}     1736{col 55}{txt}Kernel        = {res}{ralign 10:Uniform}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}     1126{col 34}     1320{col 55}{txt}VCE method    = {res}{ralign 10:NN}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}    1.031{col 34}    1.031
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}    1.700{col 34}    1.700
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.607{col 34}    0.607

Outcome: Birthyear. Running variable: poll_diff.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-.25176{col 33} .85995{col 43}-0.2928{col 52}0.770{col 60}-1.93724{col 73} 1.43371
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-.12492{col 33} .85995{col 43}-0.1453{col 52}0.884{col 60} -1.8104{col 73} 1.56055
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-.12492{col 33} 1.0629{col 43}-0.1175{col 52}0.906{col 60}-2.20819{col 73} 1.95834
{txt}{hline 19}{c BT}{hline 60}

{com}. 
. 
. ************
. * Table A4 *
. 
. * Model 1
. use "dataset 4.dta", clear
{txt}
{com}. keep if counter_numerical < 3  // We transform the data to only analyze the average values two periods before and after the cutt-off point.
{txt}(6,716 observations deleted)

{com}. collapse match poll_diff issue_posts party poll_neg_accum poll_diff_average poll_number, by(ID_Pol week_poll prepost_poll)
{txt}
{com}. g panel = ID_P*100+week_poll // We set up the panel structure of the data that we need to include fixed effects to the analysis.
{txt}
{com}. xtset panel prepost_poll
{res}{txt}{col 8}panel variable:  {res}panel (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}prepost_poll, 0 to 1
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. zip match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff)
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res: -3227.431}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2464.0671}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2379.0793}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2369.4514}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2367.7598}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2367.3787}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2367.2875}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2367.2688}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2367.2656}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2367.2652}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2367.2652}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2367.2652}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2367.2652}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2055.8914}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2013.9986}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -2013.44}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2013.4392}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2013.4392}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,705
                                                {txt}Zero obs          = {res}     1,653

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   1738.43
{txt}Log pseudolikelihood = {res}-2013.439                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2}-.0280582{col 31}{space 2} .0370932{col 42}{space 1}   -0.76{col 51}{space 3}0.449{col 59}{space 4}-.1007594{col 72}{space 3} .0446431
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0183055{col 31}{space 2}   .04546{col 42}{space 1}    0.40{col 51}{space 3}0.687{col 59}{space 4}-.0707944{col 72}{space 3} .1074054
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.0134848{col 31}{space 2} .0438423{col 42}{space 1}   -0.31{col 51}{space 3}0.758{col 59}{space 4} -.099414{col 72}{space 3} .0724445
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0006471{col 31}{space 2} .0070456{col 42}{space 1}   -0.09{col 51}{space 3}0.927{col 59}{space 4}-.0144562{col 72}{space 3} .0131621
{txt}poll_diff_average {c |}{col 19}{res}{space 2} .0240488{col 31}{space 2} .0677854{col 42}{space 1}    0.35{col 51}{space 3}0.723{col 59}{space 4}-.1088082{col 72}{space 3} .1569057
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2149843{col 31}{space 2} .0061122{col 42}{space 1}   35.17{col 51}{space 3}0.000{col 59}{space 4} .2030045{col 72}{space 3}  .226964
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2}  .035789{col 31}{space 2} .0110263{col 42}{space 1}    3.25{col 51}{space 3}0.001{col 59}{space 4} .0141778{col 72}{space 3} .0574002
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .0696103{col 31}{space 2} .0874314{col 42}{space 1}    0.80{col 51}{space 3}0.426{col 59}{space 4}-.1017521{col 72}{space 3} .2409728
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.2019685{col 31}{space 2} .0998001{col 42}{space 1}   -2.02{col 51}{space 3}0.043{col 59}{space 4} -.397573{col 72}{space 3} -.006364
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .0771978{col 31}{space 2} .0873469{col 42}{space 1}    0.88{col 51}{space 3}0.377{col 59}{space 4} -.093999{col 72}{space 3} .2483947
{txt}{space 13}410  {c |}{col 19}{res}{space 2}-.1897926{col 31}{space 2} .1032347{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-.3921289{col 72}{space 3} .0125438
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0583038{col 31}{space 2} .0876796{col 42}{space 1}    0.66{col 51}{space 3}0.506{col 59}{space 4} -.113545{col 72}{space 3} .2301527
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .1086552{col 31}{space 2} .0959793{col 42}{space 1}    1.13{col 51}{space 3}0.258{col 59}{space 4}-.0794606{col 72}{space 3} .2967711
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1096008{col 31}{space 2} .1052422{col 42}{space 1}    1.04{col 51}{space 3}0.298{col 59}{space 4}-.0966702{col 72}{space 3} .3158718
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1648158{col 31}{space 2} .0850955{col 42}{space 1}   -1.94{col 51}{space 3}0.053{col 59}{space 4}   -.3316{col 72}{space 3} .0019684
{txt}{space 17} {c |}
{space 6}poll_number {c |}
{space 15}2  {c |}{col 19}{res}{space 2} .6005881{col 31}{space 2}  .093935{col 42}{space 1}    6.39{col 51}{space 3}0.000{col 59}{space 4}  .416479{col 72}{space 3} .7846972
{txt}{space 15}3  {c |}{col 19}{res}{space 2} .8197905{col 31}{space 2} .0895674{col 42}{space 1}    9.15{col 51}{space 3}0.000{col 59}{space 4} .6442417{col 72}{space 3} .9953394
{txt}{space 15}4  {c |}{col 19}{res}{space 2} .6509909{col 31}{space 2} .0979689{col 42}{space 1}    6.64{col 51}{space 3}0.000{col 59}{space 4} .4589753{col 72}{space 3} .8430065
{txt}{space 15}5  {c |}{col 19}{res}{space 2} .7319726{col 31}{space 2} .0809218{col 42}{space 1}    9.05{col 51}{space 3}0.000{col 59}{space 4} .5733688{col 72}{space 3} .8905764
{txt}{space 15}6  {c |}{col 19}{res}{space 2} .4868653{col 31}{space 2} .0862247{col 42}{space 1}    5.65{col 51}{space 3}0.000{col 59}{space 4} .3178679{col 72}{space 3} .6558626
{txt}{space 15}7  {c |}{col 19}{res}{space 2}  .058613{col 31}{space 2} .0936499{col 42}{space 1}    0.63{col 51}{space 3}0.531{col 59}{space 4}-.1249374{col 72}{space 3} .2421633
{txt}{space 15}8  {c |}{col 19}{res}{space 2} .3102798{col 31}{space 2} .0910714{col 42}{space 1}    3.41{col 51}{space 3}0.001{col 59}{space 4} .1317831{col 72}{space 3} .4887765
{txt}{space 15}9  {c |}{col 19}{res}{space 2} .3703758{col 31}{space 2} .0915087{col 42}{space 1}    4.05{col 51}{space 3}0.000{col 59}{space 4}  .191022{col 72}{space 3} .5497295
{txt}{space 14}10  {c |}{col 19}{res}{space 2} .0633606{col 31}{space 2} .1043903{col 42}{space 1}    0.61{col 51}{space 3}0.544{col 59}{space 4}-.1412407{col 72}{space 3} .2679619
{txt}{space 14}11  {c |}{col 19}{res}{space 2} .0234035{col 31}{space 2} .1025513{col 42}{space 1}    0.23{col 51}{space 3}0.819{col 59}{space 4}-.1775934{col 72}{space 3} .2244004
{txt}{space 14}12  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-2.325497{col 31}{space 2} .1143108{col 42}{space 1}  -20.34{col 51}{space 3}0.000{col 59}{space 4}-2.549542{col 72}{space 3}-2.101452
{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2} .2848848{col 31}{space 2} .0644676{col 42}{space 1}    4.42{col 51}{space 3}0.000{col 59}{space 4} .1585306{col 72}{space 3} .4112391
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2}-.3222323{col 31}{space 2} .0694157{col 42}{space 1}   -4.64{col 51}{space 3}0.000{col 59}{space 4}-.4582846{col 72}{space 3}  -.18618
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2} .2945849{col 31}{space 2} .0824725{col 42}{space 1}    3.57{col 51}{space 3}0.000{col 59}{space 4} .1329418{col 72}{space 3} .4562281
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-25.44821{col 31}{space 2} .0502958{col 42}{space 1} -505.97{col 51}{space 3}0.000{col 59}{space 4}-25.54679{col 72}{space 3}-25.34963
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Model 2
. * This model is the same as model 1 in Table 1 in manuscript (line 57 in do-file)
. 
. * Model 3
. use "dataset 5.dta", clear
{txt}
{com}. keep if counter_numerical < 3  // We transform the data to only analyze the average values two periods before and after the cutt-off point.
{txt}(6,716 observations deleted)

{com}. collapse match poll_diff issue_posts party poll_neg_accum poll_diff_average poll_number, by(ID_Pol week_poll prepost_poll)
{txt}
{com}. g panel = ID_P*100+week_poll // We set up the panel structure of the data that we need to include fixed effects to the analysis.
{txt}
{com}. xtset panel prepost_poll
{res}{txt}{col 8}panel variable:  {res}panel (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}prepost_poll, 0 to 1
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. zip match i.prepost_poll##c.poll_diff poll_neg_accum poll_diff_average issue_posts poll_number i.party i.poll_number, vce(robust) infl(i.prepost_poll##c.poll_diff) 
{txt}note: 12.poll_number omitted because of collinearity

Fitting constant-only model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3901.6381}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3066.5213}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2953.9214}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2944.6495}  
Iteration 4:{space 3}log pseudolikelihood = {res: -2942.311}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2941.8039}  
Iteration 6:{space 3}log pseudolikelihood = {res:-2941.6895}  
Iteration 7:{space 3}log pseudolikelihood = {res:-2941.6695}  
Iteration 8:{space 3}log pseudolikelihood = {res:-2941.6674}  
Iteration 9:{space 3}log pseudolikelihood = {res:-2941.6669}  
Iteration 10:{space 2}log pseudolikelihood = {res:-2941.6669}  
Iteration 11:{space 2}log pseudolikelihood = {res:-2941.6668}  
{res}
{txt}Fitting full model:
{res}
{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2941.6668}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2491.6531}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2430.1294}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2429.3356}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2429.3347}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2429.3347}  
{res}
{txt}Zero-inflated Poisson regression                Number of obs     = {res}     3,358
                                                {txt}Nonzero obs       = {res}     1,964
                                                {txt}Zero obs          = {res}     1,394

{txt}Inflation model      = {res}logit                    {txt}Wald chi2({res}25{txt})     = {res}   2139.24
{txt}Log pseudolikelihood = {res}-2429.335                {txt}Prob > chi2       = {res}    0.0000

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}            match{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}match             {txt}{c |}
{space 3}1.prepost_poll {c |}{col 19}{res}{space 2}  .035436{col 31}{space 2}  .031815{col 42}{space 1}    1.11{col 51}{space 3}0.265{col 59}{space 4}-.0269202{col 72}{space 3} .0977922
{txt}{space 8}poll_diff {c |}{col 19}{res}{space 2} .0701502{col 31}{space 2} .0396487{col 42}{space 1}    1.77{col 51}{space 3}0.077{col 59}{space 4}-.0075598{col 72}{space 3} .1478603
{txt}{space 17} {c |}
{space 5}prepost_poll#{c |}
{space 6}c.poll_diff {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.1148725{col 31}{space 2} .0388587{col 42}{space 1}   -2.96{col 51}{space 3}0.003{col 59}{space 4}-.1910341{col 72}{space 3}-.0387108
{txt}{space 17} {c |}
{space 3}poll_neg_accum {c |}{col 19}{res}{space 2}-.0034725{col 31}{space 2} .0060561{col 42}{space 1}   -0.57{col 51}{space 3}0.566{col 59}{space 4}-.0153423{col 72}{space 3} .0083973
{txt}poll_diff_average {c |}{col 19}{res}{space 2}-.0689071{col 31}{space 2} .0562185{col 42}{space 1}   -1.23{col 51}{space 3}0.220{col 59}{space 4}-.1790934{col 72}{space 3} .0412791
{txt}{space 6}issue_posts {c |}{col 19}{res}{space 2} .2175934{col 31}{space 2} .0055322{col 42}{space 1}   39.33{col 51}{space 3}0.000{col 59}{space 4} .2067506{col 72}{space 3} .2284363
{txt}{space 6}poll_number {c |}{col 19}{res}{space 2} .0061964{col 31}{space 2} .0099688{col 42}{space 1}    0.62{col 51}{space 3}0.534{col 59}{space 4} -.013342{col 72}{space 3} .0257349
{txt}{space 17} {c |}
{space 12}party {c |}
{space 13}210  {c |}{col 19}{res}{space 2} .1357911{col 31}{space 2} .0756363{col 42}{space 1}    1.80{col 51}{space 3}0.073{col 59}{space 4}-.0124533{col 72}{space 3} .2840355
{txt}{space 13}220  {c |}{col 19}{res}{space 2}-.0440922{col 31}{space 2} .0796584{col 42}{space 1}   -0.55{col 51}{space 3}0.580{col 59}{space 4}-.2002199{col 72}{space 3} .1120355
{txt}{space 13}320  {c |}{col 19}{res}{space 2} .1787943{col 31}{space 2} .0718894{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0378938{col 72}{space 3} .3196949
{txt}{space 13}410  {c |}{col 19}{res}{space 2} -.051058{col 31}{space 2}  .090605{col 42}{space 1}   -0.56{col 51}{space 3}0.573{col 59}{space 4}-.2286405{col 72}{space 3} .1265246
{txt}{space 13}420  {c |}{col 19}{res}{space 2} .0798387{col 31}{space 2} .0742127{col 42}{space 1}    1.08{col 51}{space 3}0.282{col 59}{space 4}-.0656154{col 72}{space 3} .2252929
{txt}{space 13}430  {c |}{col 19}{res}{space 2} .1000593{col 31}{space 2} .0824724{col 42}{space 1}    1.21{col 51}{space 3}0.225{col 59}{space 4}-.0615835{col 72}{space 3} .2617022
{txt}{space 13}620  {c |}{col 19}{res}{space 2} .1484938{col 31}{space 2} .0901385{col 42}{space 1}    1.65{col 51}{space 3}0.099{col 59}{space 4}-.0281744{col 72}{space 3}  .325162
{txt}{space 13}700  {c |}{col 19}{res}{space 2}-.1693051{col 31}{space 2} .0723296{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-.3110685{col 72}{space 3}-.0275417
{txt}{space 17} {c |}
{space 6}poll_number {c |}
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{txt}{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}inflate           {txt}{c |}
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{space 5}prepost_poll#{c |}
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{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-27.00068{col 31}{space 2} .0474639{col 42}{space 1} -568.87{col 51}{space 3}0.000{col 59}{space 4}-27.09371{col 72}{space 3}-26.90765
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.  
. *************
. * Figure A5 *
. use "dataset 6.dta", clear
{txt}
{com}. graph hbar (mean) IO_pct, over(party, sort(IO_pct) descending) by(issue) ytitle(Issue ownership score (%))
{res}{txt}
{com}. 
. ******************
. * Figures A6, A7 *
. use "dataset 7.dta", clear
{txt}
{com}. 
. * Figure A6
. graph bar (mean) attention, over(party, sort(attention) descending) by(CAP) ytitle(Issue Emphasis (%))
{res}{txt}
{com}. 
. reshape wide attention, i(party year) j(CAP) // We reshape the data to be able to do timeseries graphs for specific issues.
{txt}(note: j = 1 2 3 4 5 6 7 8 9 10 12 13 14 15 16 17 18 19 20 23)

Data{col 36}long{col 43}->{col 48}wide
{hline 77}
Number of obs.                 {res}     382   {txt}->{res}      31
{txt}Number of variables            {res}       4   {txt}->{res}      22
{txt}j variable (20 values)              {res}CAP   {txt}->   (dropped)
xij variables:
                              {res}attention   {txt}->   {res}attention1 attention2 ... attention23
{txt}{hline 77}

{com}. xtset party year
{res}{txt}{col 8}panel variable:  {res}party (unbalanced)
{txt}{col 9}time variable:  {res}{col 25}year, 2005 to 2015, but with gaps
{txt}{col 17}delta:  {res}1 unit
{txt}
{com}. 
. * Figure A7a
. xtline attention3, ytitle(Emphasis (%)) ttitle(" ") ylabel(0(10)30, labels labsize(medlarge) labcolor(black)) xlabel(, labels labsize(medlarge) labcolor(black)) byopts(title(Health, size(medlarge) color(black))) subtitle(, size(medlarge) nobox) byopts(legend(off))
{res}{txt}
{com}. * Figure A7b
. xtline attention6, ytitle(Emphasis (%)) ttitle(" ") ylabel(0(25)50, labels labsize(medlarge) labcolor(black)) xlabel(, labels labsize(medlarge) labcolor(black)) byopts(title(Education, size(medlarge) color(black))) subtitle(, size(medlarge) nobox) byopts(legend(off))
{res}{txt}
{com}. * Figure A7c
. xtline attention7, ytitle(Emphasis (%)) ttitle(" ") ylabel(0(5)20, labels labsize(medlarge) labcolor(black)) xlabel(, labels labsize(medlarge) labcolor(black)) byopts(title(Environment, size(medlarge) color(black))) subtitle(, size(medlarge) nobox) byopts(legend(off))
{res}{txt}
{com}. * Figure A7d
. xtline attention9, ytitle(Emphasis (%)) ttitle(" ") ylabel(0(10)30, labels labsize(medlarge) labcolor(black)) xlabel(, labels labsize(medlarge) labcolor(black)) byopts(title(Immigration, size(medlarge) color(black))) subtitle(, size(medlarge) nobox) byopts(legend(off))
{res}{txt}
{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\au194671\OneDrive - Aarhus Universitet\UK data collection\Skrivebord\Helene Helboe Pedersen\JOP\version 4\session.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}17 Jan 2024, 09:15:31
{txt}{.-}
{smcl}
{txt}{sf}{ul off}